Sökresultat för "Data sources"

International data analytics company is looking for a person to visit several places in the city, collect simple outside public data without leaving a car and upload them to our system using mobile application. The job should be done on weekdays any time between 12:00 and 16:00. The job itself shouldn't take you more than 30 min of your time. Currently this is a back-up position (on occasional basis) with possibility of regular-part time employment in the future. Requirements: smartphone driving license access to a car The nature of the job makes it great for a student or someone already working part-time and looking for an additional source of income. Self-employed are welcomed.

Join us to deliver a smoke- free future as Senior Business Analyst! We’ve chosen to do something incredible. We’re totally transforming our business and building our future with one clear purpose – to deliver a smoke-free future. Swedish Match is an affiliate of PMI and has been a leader in the industry for more than 200 years. In the Nordic region, we are 1,600 employees based in Sweden, Denmark, Finland and Norway working in various functions and teams and together we are collaborating to deliver a smoke-free Nordics. Role summary: We’re looking for a Senior Business Analyst to transform business needs into impactful data products and analytics solutions. In this role, you translate business needs into actionable analytics solutions, partnering closely with various stakeholders to deliver measurable impact. Your day to day: Translate business needs into analytics solutions by converting commercial questions into scalable analytics deliverables such as dashboards, reports, or predictive models. Analyse data and generate insights by connecting various data sources to measure the impact and performance of commercial initiatives against KPIs with recommendation of corrective actions. Drive data governance and compliance by ensuring data quality and alignment to governance standards. Be a standout team player and collaborate with cross-functional teams (Commercial Operations, Channel owners, Data Scientists, etc) to understand business needs and ensure relevancy of solutions & insights generated. What you bring: Storytelling and the ability to understand the data to make informed business decisions and tell compelling data stories. Deep understanding of data, and how data drives decision making in resource allocation. Design of analytics solutions that enable data-driven decisions across Commercial teams. Strategic mindset, with a demonstrable record of shaping business, marketing and commercial data analytics. Your experience: Degree in Business Management / Data Engineering / Technology or Finance. Minimum of 2-5 years of experience in Finance / Data Analytics (preferably in FMCG) with business modelling tools and analytics platforms. Professional certifications such as CBAP (Certified Business Analysis Professional) or PMI-PBA (PMI Professional in Business Analysis) are a plus. To be successful in this role, you should be adept at building and maintaining business models to support diverse scenarios, with strong analytical skills to investigate issues, perform root cause analysis, and recommend improvements. Familiarity with LeanIX and proficiency in BI tools would be an advantage, along with experience in data visualization and solving complex business challenges. You’ll need to demonstrate curiosity, problem-solving capabilities and collaborate confidently across multi-functional teams and stakeholders. What we offer Our success depends on the dedicated people who come to work every single day with a sense of purpose and an appetite for progress. Join Swedish Match and you too can: Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore. Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong. Enjoy flexibility of hybrid way of working - split your time between working from our office or the comfort of your home, where it works best for you in line with business needs. Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress. Take pride in delivering our promise to society: to deliver a smoke-free future.

We are looking for an Analytics Manager to join Wolt’s Courier and Logistics Analytics team! What you’ll be doing As an Analytics Manager at Wolt, you’ll take charge of the Courier and Logistics domain, balancing hands-on analytics work with people management responsibilities. Experience in pricing and/or supply management domains would be a significant advantage. In Wolt’s fast-paced, three-sided marketplace, you’ll find a demanding yet rewarding environment to support the business in it’s ambitious growth plans and hone your modern analytics skills. You will have the opportunity to… Lead and grow a team of data scientists Set the strategic direction for analytical work within the Courier and Logistics domain Establish a solid data and experimentation culture with your Product and operational stakeholders Coach your team and participate hands-on in developing new metrics and conducting analytical deep dives to drive the strategy for the business Uncover foundational causal relationships in our data that can help us to understand our business Drive strategic decision-making within the whole Courier Group This role combines scientific expertise with stakeholder engagement, placing you at the forefront of driving business outcomes. You will collaborate closely with the Product, Engineering, Design, and Operations teams to guide measurement strategies and tactical decisions, helping to expand the Wolt platform globally. Our humble expectations 6+ years of experience in a data science or analytics position 2+ years of experience in team leadership* with some flexibility depending on the candidate Expertise in statistical analysis, including hypothesis testing, experimentation, and regression analysis using statistical software packages in Python, Matlab, R, or equivalent Proficiency in writing structured and efficient SQL queries for large data sets Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach What we offer The online delivery platform that Wolt is scaling will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to develop your career in analytics! You have the chance to decide the ways of working: hybrid, at the office, or remote within Berlin, Stockholm, or Helsinki. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Work on complex infrastructure data at global scale ServiceNow is at the heart of how ASSA ABLOY delivers and manages IT services globally. In this role, you will ensure the platform is trusted and effective — with high-quality CMDB data, reliable Discovery processes, and a scalable architecture supporting a complex international environment. Your work will define how infrastructure, services, and dependencies are modelled, governed, and consumed through the ServiceNow CMDB across a global organisation. The role You will be driving key areas of the ServiceNow platform, with a strong focus on CMDB and Discovery. Working closely with ServiceNow Solution architects and infrastructure and service management teams, you will translate technical and business needs into reliable, well-governed platform solutions that scale across a global environment. You will act as a senior technical reference point, helping to strengthen standards, improve consistency, and drive long-term platform quality and stability. What you will work on Design and develop ServiceNow solutions aligned with infrastructure and service needs Own and improve CMDB structure, data quality, and lifecycle management (CSDM alignment) Configure and optimise ServiceNow Discovery and related integrations Develop scoped applications, scripts, and integrations using platform best practices Ensure platform security, stability, and compliance with internal standards Collaborate with IT teams to model services and dependencies accurately What will help you succeed Strong hands-on experience as a ServiceNow Developer in enterprise environments Deep knowledge of CMDB, CSDM, and service modelling Proven experience with ServiceNow Discovery and infrastructure data sources Good understanding of IT infrastructure (cloud, on-prem, networks, servers) ServiceNow System Administrator certification (additional certifications is a plus) ITIL knowledge and experience in global organisations Why ASSA ABLOY You will join a global organisation where ServiceNow is a core platform for IT operations, directly influencing how services are delivered and understood worldwide. This is an environment where technical ownership matters and where improvements to data quality and platform structure have real operational impact. Meaningful mission: Improve the accuracy and reliability of global IT service data Innovation and scale: Work in a complex international ServiceNow environment with deep CMDB and Discovery integration Autonomy and trust: Take ownership of technical decisions and influence platform standards Growth and development: Strengthen your position as a senior ServiceNow specialist Work–life balance: Hybrid working with a pragmatic, Scandinavian approach to work Ready to take ownership of ServiceNow at scale? If you enjoy solving complex CMDB and Discovery challenges and want to shape a platform used across a global organisation, we would like to hear from you. Apply today — we review applications continuously. We’re committed to building diverse, inclusive teams and encourage applications from all who see themselves thriving here. To make sure your personal data stays protected, we do not review applications sent via email or post. If you have questions about the role or process, contact Léa Rein, Senior Talent Acquisition Business Partner at lea.rein@assaabloy.com. Let’s create a safer and more open world — together. We are the ASSA ABLOY Group Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

Company description: "Founded in 1927, the Volvo Group Job description:  Data Scientist – Volvo Trucks Digital Management   Data Analytics & AI    Transport is at the core of modern society. At Volvo Trucks, you can use data science and AI to help shape the future of sustainable transport and infrastructure solutions. If you are passionate about turning data into business value, enjoy solving varied challenges, and want to work close to the business in a highly collaborative role, this could be a great opportunity for you.    The Role    We are looking for a Data Scientist to join Data Analytics & AI within Volvo Trucks Digital Management. In this role, you will work hands-on with data science and AI to solve real business challenges across Volvo Trucks. You will be part of a collaborative, skilled, and supportive team where advanced analytics, machine learning, and generative AI are applied to create meaningful impact.  This is a broad, hands-on role with a strong focus on collaboration and communication. You will work closely with business stakeholders across different parts of the organization, which means you need to be comfortable understanding business needs, challenging assumptions, translating technical concepts into clear insights, and building trust with people at different levels of technical understanding.  Your work will vary across projects, business areas, and technical challenges. One project may focus on predictive modeling, another on data exploration and experimentation, and another on generative AI or helping move AI solutions toward production. This variation is a core part of the role.  It is also a role for someone who enjoys working in a broad problem space. You do not need to know everything from day one. What matters most is a curious mindset, strong problem-solving ability, and a willingness to learn new domains, methods, and technologies over time. At Volvo Trucks, we value people who can grow into challenges, collaborate with others, and contribute across a wide range of issues.   What you will do  Apply data science and AI methods to real-world business problems  Work with advanced analytics, machine learning and generative AI  Collaborate closely with business stakeholders to understand needs and identify valuable use cases  Communicate methodologies, findings, and recommendations in a clear and transparent way, to build trust.  Work with a wide range of projects, data sources, and business contexts  Contribute throughout the lifecycle from exploration and prototyping to support with productionizing of AI solutions  Collaborate with colleagues across different domains  Continuously learn about the business, its information landscape, and the transport industry to create relevant and actionable solutions      Who are you   You are a curious and analytical person who enjoys solving problems and learning continuously in a fast-evolving field. You like working in close collaboration with others and are motivated by turning complex questions into practical business value.  You communicate clearly and bring a positive, proactive attitude to your work. As the role involves close interaction with business stakeholders, you should be comfortable explaining technical topics in a simple and engaging way, listening actively, and adapting your message to different audiences.    We believe you likely have:  A degree in computer science, statistics, engineering, or another relevant field  Experience using Python for data science, analytics and AI development  Good understanding of adjacent areas such as DevOps, APIs and data modeling  A collaborative mindset and the confidence to take on new challenges even when the path is not fully defined from the start  At least 2-3 years of work experience as a data scientist or relevant role  It is an advantage if you have experience with:  MLOps  Deployment and scaling of AI solutions  Cloud platforms such as Azure, AWS, or GCP

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a data scientist, you will turn data into meaningful insights using analytics and machine learning techniques. You are comfortable working independently on innovative projects to require, amongst others, to design, train and evaluate models to analyze sensor signals and other engineering data.   You will collaborate closely with other data scientists and data engineers across different disciplines. You’ll contribute by sharing your knowledge and learning from others as you help evolve our methods, tools, and best practices.   This role suits someone who enjoys building, exploring, and delivering high‑quality analysis that drives real impact.  What you'll bring You have a strong quantitative background, with a Master’s in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 3+ years of experience in a data science or similar role. You have experience in all stages of data science projects: framing questions, analyzing data, modeling, interpreting results, and communicating insights.   You may have experience in several of the following areas (you do not need to meet all of them):  Experience with Python and aware of software and data engineering practices for production systems  Familiar with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  Experience building data pipelines on platforms such as Databricks or Snowflake  Understanding and experience applying in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with developing generative AI or LLM-based applications     Beneficial to have: Familiar with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge    We value how you collaborate as much as your technical skills. You should approach problems with curiosity and creativity as well as communicate clearly with both technical and non‑technical colleagues. You would take ownership and follow through as well as open discussions and multidisciplinary teamwork.

Are you an experienced fullstack engineer who wants to build modern, cloud-based systems that help combat financial crime? This role offers the opportunity to work across the full stack, influence architecture, and collaborate closely with product and engineering teams to deliver scalable, high-impact solutions within the Anti-Money Laundering domain in a fast-moving RegTech environment.  About Verified Verified started with solutions for electronic signing, identity verification, and contract management. In close collaboration with its customers, the company has since evolved into a RegTech provider of digital workflows for Anti-Money Laundering and supplier due diligence. The platform is API-first and delivered as SaaS and PaaS, built for secure and scalable cloud-based services across electronic signing, electronic identification and AML capabilities. An “AI-first” approach is also being adopted, with AI agents and services integrated both internally and into customer-facing products. The team consists of dedicated colleagues across the Nordics and Europe and the company culture is built on shared ownership, where all employees contribute to building the future of Verified and take responsibility for what is promised and delivered, both internally and in customer collaborations. These values have been central to the company’s journey so far and will continue to be important as it grows and aims for even higher goals. About the role and the team As a Senior Fullstack Engineer in the AML domain, you will play a key role in building and evolving Verified’s cloud platform for secure and scalable trust services. You will work across both frontend and backend services running in AWS, contributing to systems that support critical compliance workflows. You will join a high-autonomy, cross-functional team where ownership is shared and the full lifecycle of core services is handled collectively. The team is responsible for designing, building, deploying, and operating services end-to-end, with a strong focus on scalability, security, and time-to-market. Working in an agile environment, you will collaborate closely with product owners, designers, QA, and other engineers to deliver robust and high-quality solutions. Key responsibilities include: Design, develop, and maintain scalable cloud-based systems in AWS Build and evolve REST APIs and modern web applications Contribute to architecture and technical decisions Improve scalability by decoupling dependencies and reducing time-to-market Integrate AI capabilities such as AI agents and RAG into products and workflows Troubleshoot, debug, and resolve production issues Drive engineering quality through code reviews, testing, CI/CD, and best practices Contribute to continuous improvement in architecture and engineering practices About you We believe you are a self-driven fullstack engineer who thrives in high-autonomy environments where you take end-to-end ownership of complex systems. You are comfortable working across the stack in modern cloud-based SaaS products and enjoy building scalable and secure solutions with real business impact. You are curious about how modern technologies, including AI, can be applied both in products and across the development lifecycle. You are comfortable working with technical trade-offs and contributing to improvements in system design, performance, and developer experience. To succeed in this role, we believe you likely bring: 10+ years of experience as a Fullstack Engineer in cloud-based SaaS environments Strong experience working with Node.js, TypeScript, and modern frontend frameworks such as Vue.js Experience building REST APIs and API-first or distributed systems Hands-on experience with cloud platforms such as AWS Good understanding of system design, security, and modern application architecture Experience or interest in working with AI tools in development workflows Professional proficiency in English, both written and spoken It is a plus if you also have experience from FinTech/RegTech or other regulated environments, as well as experience integrating third-party data sources. Pracitical Information Start: According to the agreement Extent: Full-time Location: Solna We look forward to receiving your application! Do you think this role could be a good fit for you, or perhaps someone you know? We review applications on an ongoing basis and may fill the position before the final application deadline, so don’t hesitate - submit your application today. The recruitment process is handled by Ed:Za Group. If you have any questions or concerns regarding the role or the process, you are warmly welcome to contact us.

The opportunity At Hitachi Energy, we are accelerating the energy transition with digital innovation at the core of everything we do. To support this journey, we are now looking for a Data Engineer / Report Builder to strengthen our data platform and enable data driven decision making across operations, logistics, and manufacturing. In this role, you will play a key part in building trustworthy, structured, and scalable data foundations that support reporting, analytics, and future digital capabilities. You will work closely with the business to replace manual reporting with automated solutions and help transform data into real business value. This position is part of our digital transformation initiative and reports to the Digital Transformation Manager. How you’ll make an impact Build, maintain, and further develop our data platform to support analytical and operational use cases Ensure high data quality, completeness, and consistency, enabling reliable reporting and decision support Translate business needs into well‑defined data objects and data models, acting as a bridge between business and technology Integrate and structure new data sources from operational and business systems Develop and maintain our reporting portfolio, primarily using Power BI Enable automated and self-service reporting, leveraging AI and replacing manual and Excel based solutions Your background 3–7 years of relevant experience within data engineering, analytics engineering, or similar roles Handson experience with Databricks or a comparable data platform Strong skills in SQL, data modeling, and data pipeline design Experience working with databases, ETL/ELT processes, and structured data architectures Experience building reports and semantic data models, preferably using Power BI The ability to translate complex business requirements into scalable and maintainable data solutions What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! Recruiting Manager Jennie Rassool, jennie.rassool@hitachienergy.com will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Philip Bengtsson, +46 107-38 25 17; Unionen: Michael Fosselius, +46 107 38 46 19; Ledarna: Frank Hollstedt, +46 107-38 70 42 . All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com.

Company description: Who are we?Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent. We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future. Job description: Let's introduce ourselves The Engineering Data Hub at Volvo Cars accelerates the use of data, analytics, and AI. Our cross‑functional team of data, software, and machine learning engineers combines technical expertise with a collaborative mindset to transform large‑scale vehicle data into actionable insights. We support the development of new products, functions, and services by analyzing complex data sources, building machine‑learning models, developing scalable cloud pipelines, creating intuitive visualizations, and create Generative AI products.    Our culture focuses on learning, inclusion, and achieving success together!   What you'll do As a senior data scientist, you will turn large‑scale engineering data into insights and models that guide product development and engineering decisions. You will design, train, validate, and deploy advanced ML models, particularly for sensor signals and other complex data sources.  You will take a leading role in shaping innovative projects, stay up to date with the latest AI developments to ensure we use the most suitable methods, and evolving how we work with vehicle data across Volvo Cars. You will mentor and guide other data scientists, collaborate across disciplines to identify impactful opportunities, and help to build a strong, inclusive analytics community within Volvo Cars Engineering.     This role is ideal for someone who combines deep technical expertise with a passion for leadership, mentorship, and driving innovation.  What you'll bring You have a strong quantitative background, with a Master’s or Ph.D. in Statistics, Mathematics, Data Science, Computer Science, or a related field, along with 5+ years of experience in a data science or similar role. You are comfortable leading by example, guiding others, setting technical direction, and raising the quality of analytical work across teams.    You bring an experimental mindset, balancing speed and rigor to iterate quickly and deliver impact. You have experience owning machine learning or analytical projects end-to-end, from ideation through to deployment, and you are able to clearly communicate insights to non-technical stakeholders.    You likely have experience in several of these areas:   Strong experience with Python and solid understanding of software and data engineering practices for production systems  Strong familiarity with the standard data science toolkit (e.g., pyspark, Pandas, Scipy, Numpy etc.)  You have experience building data pipelines on platforms such as Databricks or Snowflake  Theoretical understanding and practical experience in statistical modeling, inference, time-series analysis, and machine learning algorithms  Understanding of CI/CD principles, particularly for data or ML pipelines  Experience with software versioning (e.g., Git)   Experience with generative AI or LLM-based applications    Beneficial:  Experience or familiarity with front-end development (e.g., Streamlit or React)  Experience with cloud-environments ‑ (preferably Azure)  Automotive or mechatronic domain knowledge  Experience mentoring or leading technical work    You would thrive in a collaborative environment while feeling confident driving technical direction. You would lead through knowledge‑sharing, encouragement, and clarity as well as communicate effectively with diverse audiences. You bring curiosity, creativity, and strong analytical rigor. You inspire others through initiative, openness, and responsibility. You bring your experience in shaping processes, methods, and standards.

ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: * Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. * Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. * Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. * GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing * Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. * Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. * Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. * Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. * Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. * Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need * Strong proficiency in SQL and Python. * Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. * Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. * Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: * Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) * Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) * Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) * Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have * Experience in a product-led or SaaS environment, ideally B2B. * Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. * Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who * "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. * Thrives in a fast-paced environment where the answers aren't always clear and processes are few. * Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to.   Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

Job Description As a Business Analyst within Digital Franchise, you will play a key role in driving data-informed decision making and supporting the digital growth of our franchise business. You will bridge business needs with data and insights, helping stakeholders understand performance, identify opportunities, and make informed decisions. This is a broad business facing role that offers the opportunity to develop a wide range of skills across commercial analysis, stakeholder management, digital performance, process improvement and Franchise partner relations. Rather than building deep expertise within a specific analytics discipline, you will gain exposure to multiple areas of the business and develop a holistic understanding of how digital franchise operations drive growth and profitability. You will be an integral part of the Global Franchise Digital team, collaborating closely with Controlling, Merchandising, Marketing, and other Franchise functions, as well as Franchise partners across multiple markets. As our digital Franchise business continues to expand, you will contribute to shaping future reporting, business processes, and analytical capabilities while supporting digital growth across existing and new markets. The global Franchise team is highly diverse, representing many nationalities and working with partners across Asia, the Middle East, Europe, Africa, and South America. This role offers unique exposure to international markets and includes opportunities to travel to Franchise partners, strengthening collaboration, supporting business growth, and gaining insights into local market needs. WHAT YOU'LL DO Analyze digital business performance across .com and app, including traffic, customer behavior, conversion, sales performance, and commercial KPIs. Support data quality activities by assisting with the validation of datasets and ensuring consistency across multiple data sources. Translate business challenges and strategic questions into structured analyses, recommendations, and action plans. Build business cases to support investments, initiatives, and digital growth opportunities. Conduct gap analyses to identify opportunities, risks, and areas for improvement across franchise markets. Collaborate with internal stakeholders and Franchise partners to improve performance and establish data driven ways of working. Coach and upskill Franchise partners in e-commerce analysis, enabling them to better understand performance drivers, reporting, and digital commercial excellence. Support core Controlling processes, including monthly closing, budgeting, forecasting, and delivery of ad hoc financial insights WHO YOU ARE We are looking for people with: A bachelor’s degree in business, Economics, Marketing, Statistics, Analytics, or a related field. Experience in business analysis, commercial analysis, e-commerce, digital business, consulting, or a similar area. Strong analytical and problem-solving skills, with the ability to translate data into actionable business recommendations. Strong stakeholder management and communication skills. Proficiency in SQL, GCP, Google Analytics, Power BI, and Looker Studio. More than deep technical expertise, we believe success in this role is driven by an analytical mindset, curiosity, strong business acumen, and the ability to connect insights with business actions. And people who are: Curious about how digital businesses operate and grow. Comfortable working with data, while equally interested in understanding the broader business context. A self-starter who takes ownership, works independently, and proactively drives initiative forward. A structured problem solver who enjoys turning insights into action. Collaborative and effective in building relationships across functions, markets, and cultures. Comfortable navigating ambiguity and adapting to change in a fast-paced business environment. An excellent communicator who can simplify complex topics for different audiences. JOIN US This is a temporary contract for 11 months, based at our office in Stockholm, Sweden. Apply by sending in your CV in English as soon as possible but latest by July 2nd, 2026. This role will be reporting to the Head of Digital Franchise in the Commercial function. Additional Information WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE  We offer all our employees at H&M Group attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. In addition to our global benefits, all our local markets offer different competitive perks and benefits. Please note that they may differ between employment type and countries. JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take on a role where advanced optimization meets production-ready machine learning. In this environment, model outputs are not just used for analysis—they are part of an AI product that needs to stay robust, scalable, and useful in day-to-day decision-making. You will work close to both technology and business, turning analytical findings into solutions that create clear value. This role is well suited to you if you enjoy moving between optimization, data engineering, MLOps, and stakeholder dialogue. You will help strengthen an existing optimization model, improve the surrounding data flows, and make sure the deployed solution continues to perform reliably in production. It is an interesting opportunity for you if you want to combine deep technical work with real influence on how AI products evolve. Job DescriptionYou will maintain and improve an existing optimization model by identifying weaknesses and implementing practical enhancements. You will present model outputs and analytical findings to stakeholders, translate business needs into technical solutions, and bring feedback back into the product. You will monitor and maintain the deployed AI product on GCP to ensure strong performance, robustness, and efficiency. You will improve data preparation and wrangling pipelines and integrate additional data sources to strengthen model inputs. You will work closely with Data Scientists, ML Engineers, and Product Managers to improve model performance, reliability, and scalability. You will implement MLOps best practices for deployment, monitoring, and lifecycle management of machine learning models. You will carry out ad-hoc analyses and create visualizations that support data-driven decisions across teams. You will contribute to a Python codebase where clean structure, maintainability, and production readiness are important. RequirementsSolid knowledge and experience in discrete optimization models, including Integer Programming and Mixed Integer Programming. Strong Python skills with the ability to write clean, efficient, modular, and production-ready code. Experience developing and deploying ML models in the cloud beyond notebook-based coding and execution. Experience working with GCP for data and deployment workflows. Hands-on experience with MLOps and CI/CD pipelines. Strong SQL skills for data manipulation and analysis. Ability to understand diverse data sources and build robust data wrangling and aggregation pipelines. Familiarity with DBT for data transformation. Comfort working in Agile, cross-functional teams. Ability to communicate clearly with stakeholders and turn business requirements into technical solutions. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role:  As a Senior Data Analyst, you’ll be responsible for the team's quantitative insights. From understanding our data, identifying problems, to working with product, tech, and design on hypothesizing solutions. You’ll be the driver of our experimentation and learning efforts and will collaborate with different teams. What you will do * Understanding Truecaller's data. * Taking ownership of quantitative insights for your team, playing a crucial role in product development. * Defining experiments, overseeing their setup, and analyzing their results to drive decision-making. * Developing and maintaining key performance indicators (KPIs) for the team, ensuring their tracking, reliability, and reporting. * Creating data pipelines and dashboards to measure the team's KPIs and effectively communicate insights to both the team and leadership. * Coaching and mentoring the team on experimentation and data-driven product development processes, fostering a culture of data-driven decision-making. What you bring in * 5+ years of experience in Data Analytics * Experience in using SQL to extract, transform, and analyse data * Experience in data visualisation tools  like Looker (preferred), QlikSense, Tableau, or Power BI * Experience in mentoring, coaching, and evangelizing about data in product development * Experience in digging into different data sources to understand why specific customer behaviours happen * Fluent in spoken and written English It would be great if you also have * Big data query tools (we use BigQuery). * Experience with data from mobile applications. What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world's leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. Driven by our purpose, "Leading the future of storytelling, we move the world through stories", Storytel Group inspires and entertains people around the world by blending innovation with tradition. We bring stories to life across various formats for everyone to discover. Anytime. Anywhere. Ready for your next chapter? We're looking for an Agent Engineer to join our newly formed Agent Engineering team in Sweden! ABOUT THE TEAM Agent Engineering is a new team at Storytel with a clear mission: find where AI agents can create real leverage across the organisation, and then build them. We work closely with business functions, understand their problems, and help them automate workflows using AI agents in a way that actually works reliably. This isn't an R&D team and it isn't a consulting team. We sit at the intersection. When an agent is the right answer, we build one. When something else is the better solution, we say so. We build, test, evaluate, and iterate rather than ship things that only look like they work. The team is small by design (2-3 people). We operate as a sibling team to Storytel's Platform Engineering team, who own the scalable agent infrastructure. We focus on the agents themselves: understanding the problem, designing the solution, integrating the right data and tools, and iterating until it reliably delivers. If we get this right, we will fundamentally change how much of this organisation operates. ABOUT THE ROLE This is a software development role, but also a bit more than that. We call it an Agent Engineer, this role bridges business and technology: understanding real problems with stakeholders, translating them into agent architectures, and doing the integration work to connect everything together. As an Agent Engineer, you will work across the full lifecycle of agent development, from the first stakeholder conversation to a working, evaluated solution in production. You will be one of the first people to join this team, which means a high degree of ownership and a wide scope of work. You will work alongside our Agent Engineering Lead who also manage this team. On any given week, you might be mapping out a workflow problem with a business team, designing the architecture of an agent, or troubleshooting an integration to get the right data flowing to the right place. Blockers are a given in this kind of work, so you will typically have several projects on the go and move between them as needed. A key part of the role is building base agents that business teams can later adapt themselves, adjusting prompts, data sources, or configurations to tackle similar problems without starting from scratch each time. ABOUT YOU To be successful in this role, we believe that you have: * A strong engineering foundation. You have built real things, you understand what good architecture looks like, and you knew how to write software long before AI tools made it easier. * A practical instinct for the right tool. When a scripted solution is better than an LLM, you reach for the scripted solution. You understand the tradeoffs and can articulate them clearly. * Real experience with integration challenges. Getting the right data, with the right permissions, to the right place is often where the hard problems live. You have been there before. * The ability to translate across disciplines. You can sit with a business stakeholder, understand what is actually broken, and then turn around and have a completely different conversation with a platform engineer about API design. * Comfort with ambiguity and parallel workstreams. When you hit a wall, you work through it or find another route. You do not need a detailed brief to get started. * Pragmatic ambition. You would rather ship something that works and iterate than design something perfect that never ships. But pragmatic does not mean sloppy. * A willingness to speak up honestly. You say so when something is a bad idea, and you come with a better suggestion. You do not need to win every argument, but you are direct about your view. * At least 5 years of professional software engineering experience. * Hands-on experience with Python in a production context. Java is our primary backend language at Storytel, and Python is the language of choice for agent work. * Familiarity with Google Cloud Platform or similar cloud experience. * Prior exposure to agent frameworks or LLM tooling (we use Google ADK, but it is learnable if you have the foundations). JOIN A WORLD OF STORIES At Storytel, we're a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile. Answer a few questions, and you're all set. You have all of July to apply, we will start interviewing in August.

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.

⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart. Purpose-driven at core. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Data Scientist to join us!  👩‍💻 About The Role: As a Senior Data Scientist, you will shape the foundation of Flower’s short-term forecasting capabilities - powering the models that directly drive our daily trading decisions. You will be part of a small, highly skilled team operating at the intersection of data science, energy systems, and close-to-real-time market dynamics. You will own the full lifecycle of your models - from idea to production - working closely with Data Engineers, Machine Learning Engineers, and Energy Market Experts to ensure our forecasting stack runs smoothly and is continuously improving. This is a hands-on role focussed on time-series modelling, rapid experimentation, and the ability to translate data into high-impact operational decisions. What You’ll Do: Build & maintain short term operational forecasting models for energy volumes & prices that drive our trading decisions on a day-to-day basis Build time series models to understand and explain recurring patterns across different measurements, products and regions to distill signals as features for your next model Prototype quickly: iterate on simple models, validate rigorously, and scale what works in a dynamic market environment Own the full model lifecycle: EDA, feature engineering, model development, validation, deployment and continuous evaluation, supported by our team of DEs, MLEs & Energy Market Experts Write your models in Python, version your code in Git, use CI/CD to ensure full reproducibility Partner with DEs to evaluate and integrate new data sources (weather, grid conditions, market signals) Collaborate & mentor across other data scientists, quants and engineers. Who You Are: Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field. 5+ years building and deploying ML/time-series models in production Strong Python + SQL and no stranger to the command line; comfortable writing clean, maintainable, production-ready code Deep understanding of time-series forecasting and real-world modeling challenges Curious, data-driven, and comfortable working with messy or complex datasets Able to take projects from idea to production autonomously Highly driven by our mission and your impact, yet humble enough to know we are all always learning Thrive in a fast-moving environment and adapt models as markets evolve (Bonus) Experience in energy markets, trading, or power systems - or demonstrated motivation to learn 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Predictions and Optimization, the Team, VP of Engineering and our VP of Product. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.