Search results for "Statistical Modeling"

Techrytera AB

About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description What You’ll Do You will perform statistical analyses of fleet data to help stakeholders gain better insight into vehicle behavior. You will use machine learning and statistics to make predictive models for vehicle systems, and visualization techniques to present complex results to stakeholders in a clear and understandable way. You will also write code in Python, review and give feedback on your colleagues’ code, construct dashboards, and enable automated, continuous feedback on software and hardware quality. Who are You? We love what we do, and we think it’s important that you do too. You should be eager to learn and develop your knowledge and skillset, and support others with their personal and professional growth as well. You must be open to ideas from others, even when they may be less experienced than you – we value both ambition and humility! Key Competencies •Exploratory and confirmatory data analysis •Pyspark, SQL, and ETL pipelines •Visualization tools (specifically matplotlib and seaborn) •Ability to write clean, readable code in Python that follows best practices •Scientific computing libraries (e.g. numpy, scipy, pandas, polars) •Basic proficiency with git •Computing platforms such as Databricks and Jupyter Meritorious •Experience within the automotive and diagnostics domain •Experience in high voltage battery design, analytics, assembly, or repair •Machine learning and statistical modeling •Developing software with Linux systems •Cloud technologies such as Azure and AWS Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.

Lovable Labs Sweden AB

TL;DR - We are looking for a data scientist to build Lovable's data and analytics muscle. You'll work cross-functionally across all teams to level up our understanding of users, uncover opportunities and empower everyone with the insights they need for data-driven decision making. Must combine analytical rigor with the ability to turn complex data into winning product bets. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist who's excited to level up our analytics efforts: metrics frameworks, behavioral models, and hypothesis testing Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights Deep curiosity about user behavior and what actually drives growth and retention Ability to move between exploratory analysis, building behavioral models, hypothesis testing, and strategic recommendations What you’ll do Work closely with growth, product, and marketing to identify key levers in the customer journey Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Design and analyze experiments (A/B tests, growth tests) to understand, impact and inform strategy Monitor data quality and collaborate with engineering to maintain reliability Leverage AI tools and automation to scale your analysis and focus on high-impact questions Translate data into clear, actionable narratives that drive product and business decisions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an initial exploratory call. Discuss your experience in more depth during a round of interviews with us. Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you. About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

Tyche Consulting AB

Location: Stockholm, Sweden (Flexible/Hybrid) Employment Type: Full-time Language: English About Us We are a fast-growing IT consultancy dedicated to delivering cutting-edge expertise to industry-leading clients. Our mission is simple: empower organizations to build scalable, data-driven products that elevate user experience, optimize operations, and unlock business performance through modern AI and advanced analytics. As we scale, we are looking for a seasoned Senior AI & Data Scientist to join our elite team of experts and help shape the future of our AI offerings. The Role & Responsibilities As a Senior AI & Data Scientist, you will own the full AI lifecycle—from initial research and development to deployment and production monitoring. You will collaborate closely with product managers, engineers, and business stakeholders to turn complex data into competitive advantages. Key Responsibilities: Model Development: Design and deploy advanced Machine Learning models for business optimization, predictive analytics (forecasting/classification), and recommendation systems. Generative AI: Build next-generation, LLM-based applications utilizing RAG and Agentic AI architectures. Data & ML Ops: Design scalable ETL/feature engineering pipelines and build production-ready ML pipelines with CI/CD workflows. Deployment: Deploy and manage ML models efficiently using Docker and Kubernetes. Domain Solutions: Develop specialized AI solutions for fraud detection, risk analysis, and customer personalization. Strategic Impact: Analyze large-scale datasets to generate actionable business insights and actively contribute to our clients' long-term AI strategies. Required Qualifications To thrive in this role, you should bring a strong blend of theoretical knowledge and hands-on production experience. Education: Degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field. Experience: 6–8+ years of professional experience in Data Science, Machine Learning, or AI Engineering. Core Tech: Exceptional programming skills in Python and strong proficiency in SQL. ML/Stats: Deep understanding of Machine Learning algorithms, statistical modeling, and predictive analytics. Cloud & Infrastructure: Hands-on experience with cloud platforms (GCP, AWS, or Azure) alongside Docker and Kubernetes. Data Engineering: Experience building production-grade ML pipelines and working with distributed data platforms like Databricks. Best Practices: Strong version control habits (Git) and experience with CI/CD pipelines. Soft Skills: Excellent English communication skills, with the ability to translate complex technical concepts for business stakeholders. Preferred Qualifications (Nice to Have) Experience with any of the following tools and concepts is considered a distinct advantage: GenAI Stack: LangChain, LlamaIndex, RAG architectures, and Agentic AI. MLOps Tools: MLflow, Kubeflow, Airflow, and Feature Stores. Data Tools: DBT, BigQuery, and real-time data processing frameworks. Specialized Analytics: A/B testing, customer analytics, and fraud detection. What We Offer Compensation: Salary plus a very attractive bonus package based on performance. Flexibility: A flexible working environment that supports a healthy work-life balance. Impact: A direct opportunity to shape the AI strategy for major global brands. Culture: A vibrant, collaborative, and international team environment. Growth: Structured professional development opportunities and clear paths for long-term career progression.

Hacksaw Studios AB

About us Hacksaw Studios is a Stockholm-based game studio focused on creating innovative, high-quality gaming experiences. With a focus on performance and precision, we bring ideas to life through technical expertise and creative collaboration. We have wide distribution, and our games are played by millions of people every month by players all over the world. We are currently seeking to expand our development team with additional developers and are looking for both junior and senior candidates. You will be part of our game development team and work in a tight-knit team involving both back-end developers and designers. The Role As a Game Developer at Hacksaw Studios, you’ll play a key role in transforming game concepts into high-performing experiences. Your task will be to bring our game ideas to life in co-operation with the designers and product owners. Your key responsibilities include: Working with the development and design team to implement the backend gameplay mechanics behind our various games Working with the front-end development team to ensure the backend communications protocols make their work as simple as possible Working with the game design team to implement their game ideas Implementing the mathematical model underlying the games Performing statistical modeling and testing to ensure the games behave as intended (We'll teach you this part) Learning about the online gaming industry and staying up to date on current trends and what is popular with players Participating in code reviews and merge requests Co-operating with colleagues with similar roles, both in-house and with our partners What We’re Looking For: You value clean code, smart solutions, and the impact your work has behind the scenes. You bring: A solid backend development background. Experience with a programming language suited for game development, such as C#, Java or C++ (We use C#). A high interest in or education in mathematics or statistics. Nice-to-have: Experience with unit testing. University degree in a related field. A personal interest in gaming. What We Offer A modern office in central Stockholm. Work with experienced, passionate colleagues in the gaming industry. The opportunity to create games with a global audience. Real influence, ownership, and personal growth opportunities. Wellbeing perks including wellness allowance and regular in-office massage. Practical Details This is an on-site position in Stockholm. Unfortunately, we cannot assist with relocation or visa sponsorship. Ready to Join the Game Makers? Apply now! We review applications on a rolling basis.

Resurs Bank AB

Are you driven by analytics, automation, and stopping fraud before it happens? Join our fintech bank and help us design the next generation of data-driven fraud prevention in Sweden. As a Fraud Analyst, you will work at the intersection of data science, risk, and real-time decisioning. You will develop, test, and optimize fraud detection models across lending, cards, and payments. Your analyses will directly influence risk appetite, customer experience, and portfolio performance. You will: Analyze large, complex datasets to detect fraud patterns and emerging attack vectors Develop and maintain fraud models, rules, and monitoring frameworks Build dashboards and reporting that translate risk signals into actionable insight Partner closely with Fraud Prevention, Credit Underwriting, IT, and Data Engineering Continuously improve automation, decision engines, and model performance This is a hands-on role in a fast-moving environment where your work directly impacts loss rates, approval rates, and customer trust. Who you are 5+ years’ experience in data science, analytics, or quantitative risk roles within a bank, fintech or related industry Strong knowledge of machine learning, statistical modeling, and model validation Advanced SQL and Python (R is a plus) Experience with BI and visualization tools (e.g. Power BI, Tableau, Qlik, SAS) Comfortable working with large datasets and production-grade decision systems Able to translate complex analysis into clear, business-driven recommendations Experience in financial fraud prevention or fraud risk management is highly meriting You are analytical, commercially minded, and motivated by solving adversarial problems in real time. You thrive in a fintech environment where speed, ownership, and impact matter. Resurs in brief At Resurs, we make everyday finances easier through innovative and customer-focused solutions. With customers across the Nordics and more than 800 colleagues, we are committed to creating long-term value for individuals, businesses, and society. Recognized as a career company for the past six years, we put strong emphasis on both personal and professional growth. We want to make a difference by striving to be our best, acting with kindness, and building trust through clarity and collaboration. Our heart beats strong and it shows in everything we do. Although we are based in the Nordics, our team is enriched by the breadth of perspectives brought by colleagues from different countries. We foster a welcoming and supportive culture, where collaboration drives us to achieve the best outcomes for our users. Apply today! Don’t wait to send in your application. Selection and interviews take place on an ongoing basis, and the position may be filled before the last application date. We look forward to hearing from you! Important information On final candidates, we carry out a detailed background check via an external company. #LI-LN1

Lovable Labs Sweden AB

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. Experience creating production-level data models with strong testing, and clear ownership across pipelines. Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. Deep curiosity about user behavior and what actually drives growth and retention Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Monitor data quality and collaborate with engineering to maintain reliability Translate complex financial data into clear narratives for executive and board audiences Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill out a short form and hop on a quick intro call with our recruiting team Walk through past work and real examples of your process Show us your Most Impressive Project Cross-functional interviews to meet more team members About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

Mentimeter

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as a Data Scientist in our Revenue Analytics team, where you will play a pivotal role in advancing our analytics capabilities for our Enterprise go-to-market Motions.  Data is not only central, but crucial, to how Mentimeter will reach success. At Mentimeter, the Catalyst department is on a mission to realise our company strategy and drive innovation, growth and impact throughout our company by using data, automations and generative AI. In this role you'll work at the intersection of analytics, data science, revenue operations and business to deliver actionable insights and solutions that enable better decisions across the company.  You will collaborate with cross functional teams and company leaders to translate complex business needs into scalable solutions. Your contributions will directly influence key business outcomes such as customer retention, engagement, and revenue growth. WHAT YOU’LL DO * Execute end to end data science initiatives for our Enterprise go-to-market motions, from initial problem framing to the delivery of actionable recommendations. * Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, to solve increasingly sophisticated business challenges. * Build and ship internal data products and automated workflows that activate insights in the right tools to drive impact. * Be a key partner to Sales, Marketing, and Customer Success teams to ensure data solutions are relevant, usable, and impactful. * Elevate the data science craft by applying best practices in maintainable code, rigorous testing, and collaborative code reviews. * Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences and drive action. WE BELIEVE YOU HAVE * A minimum of 5+ years of relevant experience in data science, analytics, machine learning, or a closely related field. * Proven expertise in Python and SQL, with a track record of applying advanced methodologies to real world business problems. * Practical experience with statistical analysis, classification, and predictive modeling techniques. * Experience using AI tools (such as Cursor or Claude) to enhance productivity and quality. * A builder mindset with curiosity and interest to use the latest technologies to build internal products and systems that scale. * Strong business acumen with a deep interest in sales, marketing, and revenue operations analytics. * Solid software engineering practices, including git, versioning, and writing performant, maintainable code. * Exceptional communication skills, with the ability to convey complex concepts through clear narratives and actionable insights. * Experience collaborating with data engineers on data pipelines, model deployment, and monitoring. * The ability to work independently and navigate unfamiliar challenges by seeking appropriate input and prioritizing effectively. NICE TO HAVE * Familiarity with modern data tools (e.g. Snowflake, Hex, DBT) and cloud platforms (e.g. AWS, Google Cloud). * Experience with cloud platforms such as AWS or Google Cloud. * Experience working within a SaaS environment, especially with enterprise sales, customer lifecycle, product usage, or customer retention. NOT REQUIRED * Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities) * A traditional cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Personality & Logical ability test 4. Culture interview 5. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation:  At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 57,000–SEK 68,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm. What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Nordnet Bank AB

Nordnet is redefining the landscape of savings and investments, guiding over 2.4 million customers in their financial lives. We have spent the last years building a modern data platform and fostering a culture where actionable insights and rapid product refinement are part of our DNA. In our fast-paced environment, this remains a competitive edge - allowing us to ship, learn, and iterate faster than the market Now we are seeking to engage a passionate Data Analyst to join our team. As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers. You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights. Our efforts are focused on continuous improvements, experimentation and engaging our customers. We would love it if you feel excited about at least some of these statements. Going beyond a simple questions, defining a problem and understanding the right analytical approach Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour Design experiments to evaluate various hypotheses and design choices Utilize AI and advanced modeling to scale your impact Craft and present compelling stories that will impact our decision makers Help improve our existing methodologies This is you You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions. To thrive in this role, we believe that most of these criteria describes you: Proactive person with self-drive and strong sense of ownership A strong communicator with the ability to engage both technical and non-technical stakeholders Experience of using SQL, Python, R and dbt Hands-on experience with A/B testing Degree in economics, data science, statistics, engineering, mathematics, or similar We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation. We offer Nordnet started from a passionate belief that changing the hierarchical financial world was possible. We became part of redefining the industry when we gave the customers power over their own savings. You will become part of a journey that has only yet started towards the vision of making our customers the best investors they can be. To be leading in Tech is pivotal for that journey and you will work with colleagues who have a great passion for that goal. We have 900+ employees in Stockholm, Oslo, Helsinki and Copenhagen. We cooperate, exchange ideas and use our core competencies in order to continuously improve the way we meet our customers. Open communication, creativity and engagement are important parts of our everyday life at the office. Visit us on www.nordnetab.com,www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi. Application We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. We want to inform you that Nordnet conducts credit and background checks on the final candidate. We look forward to receiving your application!

Lovable

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. * Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. * Experience creating production-level data models with strong testing, and clear ownership across pipelines. * Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. * Deep curiosity about user behavior and what actually drives growth and retention * Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do * Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans * Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling * Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions * Build dashboards, alerts, and automated reporting to keep the team informed and aligned * Monitor data quality and collaborate with engineering to maintain reliability * Translate complex financial data into clear narratives for executive and board audiences * Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill out a short form and hop on a quick intro call with our recruiting team 2. Walk through past work and real examples of your process 3. Show us your Most Impressive Project 4. Cross-functional interviews to meet more team members About your application * Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. * We treat all candidates equally - if you’re interested please apply through our careers portal.

Aira Group AB

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role In the Energy Optimization team, we build optimization and ML models that actively control when the heat pump runs, when the battery charges or discharges, and when to export energy to the grid. We are now building new flexibility capabilities by coordinating fleets of homes to support the grid when it matters most. We’re now looking for a Data Scientist to join the team. You’ll lead projects end-to-end: shape the problem, build forecasting and optimization models, run experiments, and work closely with Product, Engineering and Design to ship customer-facing AI solutions. We value clear communication, thoughtful collaboration, and a constructive approach to problem solving. If you enjoy making measurable progress, turning messy real-world signals into decisions people can trust, and moving projects forward even when the path is not fully defined, we would love to hear from you. What you will be doing Translate real-world control problems into optimization models that minimizes customers’ energy bills. Develop and improve forecasting and decision-support models enabling optimal control schedules for customers’ home energy devices. Design and run experiments on real customer systems, evaluate impact, and turn insights into product decisions. Work closely with the team to bring models into production. Work across the full data stack, including data pipelines, feature engineering, deployment and monitoring. Lead initiatives from discovery to production impact. You set direction, align with stakeholders across product and engineering to deliver outcomes even when the path is not fully defined. Communicate clearly to technical and non-technical audiences, explaining trade-offs, uncertainty, and what is good enough to ship. What you bring to the team Several years of experience as a Data Scientist, Optimization Engineer, Applied Scientist, Machine Learning Engineer or similar. Strong mathematical and statistical modelling skills. Experience with time-series forecasting and machine learning, ideally applied to operational systems. Experience working in Python and with modern ML/optimization tooling and workflows. Solid Software Engineering fundamentals for deploying and maintaining ML systems in production. A pragmatic, product-oriented mindset: you optimize for real-world impact, not model complexity. Experience with cloud platforms (AWS, GCP, or Azure). Nice to have Experience with constrained optimization and applying it to real-world systems. Experience with energy systems or electricity market knowledge, especially flexibility and demand response. Experience with control system or physical systems modelling. What is in it for you? Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities. Collaborate with diverse teams across international markets and launch products globally. Develop and grow personally and professionally in an entrepreneurial-minded environment. Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world. Influence the company's success, with a visible impact on product development and market growth. At Aira, We’re not just champions of next-generation energy, we’re champions in Diversity and Inclusion too. We believe that a diverse workforce sparks innovation and creativity and enables us to better serve our customers and communities. We encourage individuals from all backgrounds, cultures, and perspectives to join our team. We will never accept any form of discrimination and believe that together, we can drive a new era for our people and planet.

Vattenfall AB

Company Description Vattenfall is a European energy company with approximately 20 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. Job Description Business Area Wind is responsible for Vattenfall’s Onshore and Offshore Wind as well as other non-hydro Renewable activities. Today we develop, construct and operate wind generation in UK, Sweden, Denmark, Germany and the Netherlands. At Vattenfall, our Valuation team plays a critical role in enabling high-quality business and project decisions that support our strategic ambitions. We are now looking for an Associate Valuation Manager to join Business Area Wind. In this role, you will be at the centre of value creation, supporting investment decisions across Offshore, Onshore, Solar & Battery Business Units. You will create project valuations by developing robust business cases, and collaborate closely with a wide range of stakeholders across the organisation. As a Valuation Manager, you will apply strong financial and commercial judgement to maximise project value. You will deliver insightful analyses and business cases with a high degree of integrity, working closely with development leads and their supporting expert functions such as Procurement, Engineering, Generation and more. You will contribute to continuously improving Valuation tools, processes and ways of working, collaborating with fellow Valuation Managers within your team. The role offers a high degree of variety, exposure to multiple markets, and the opportunity to work on both existing and emerging markets and innovations. You will receive structured training and comprehensive onboarding from experienced team members, including dedicated support, shadowing and practical ‘learn by doing’ opportunities. This will help you build a strong understanding of Valuation concepts, the renewable energy industry, and the ways we collaborate within the team and with our stakeholders. Your main tasks and responsibilities: Support the development, review and maintainance of complex financial models to assess project value Prepare and present economic and financial appraisals across wind, solar, battery and hydrogen projects Aim to ensure accuracy and consistency of inputs used in business cases Work in close collaboration with Risk, Opportunity and Uncertainty Management Perform scenario and sensitivity analyses to support decision-making Conduct ad hoc analysis across projects and portfolios Evaluate acquisition, divestment, joint venture and partnership opportunities Communicate results clearly to stakeholders Provide both internal and external perspectives on project valuations You will report to the Director of Valuation within Business Control and work in a dynamic, international environment alongside a well established team of highly experienced peers. Location: The location of this position is flexible with Stockholm, Amsterdam, Kolding, Hamburg, Berlin, London or Hexham being options. Regular business trips may be required Qualifications Your profile: Bachelor’s or Master’s degree in economics, finance, science or engineering Minimum 1-3 years experience in financial modelling Strong commercial awareness and business acumen Experience or strong interest in working with complex financial models Good understanding of financial theory Confident Excel user with motivation to further develop advanced skills Ability to analyse complex information Ability to present finance to non-finance audiences Awareness of accounting and tax considerations Strong communication and interpersonal skills A tendency to be resourceful and efficient Ability to work in multicultural teams Additional considerations for a successful applicant: Fluency in German would be advantageous Experience or active interest in the renewables industry Knowledge of statistical analysis A demonstrable interest in ‘FinTech’ or other analytical coding is beneficial Additional Information Our offer We offer good remuneration, a challenging and international work environment and the possibility to work with some of the best in the field. You will be working in interdisciplinary teams and you can always count on support from committed colleagues as ‘Ask and Share’ concept is essential for the way we work. We offer attractive employment conditions and opportunities for personal and professional development. More Information Incoming applications are reviewed and evaluated on an ongoing basis. Therefore, this vacancy may be filled before the application deadline. The application deadline is July 24, 2026. We welcome your application in English and kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website. For more information about the recruitment process you are welcome to contact our recruiter Sandra Domschke, sandra.domschke@vattenfall.de At Vattenfall we are convinced that diversity contributes to building a more profitable and attractive company and we strive to be a good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation. Click here for further information. The security of Vattenfall and its employees is essential. For that reason, a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall and will be performed by a third party, DISA Global Solutions AB. Since Vattenfall is a part of the Swedish critical infrastructure, many of our services are security classed. If this position is security classified the final candidates might be subject to a security vetting process, according to Swedish legislation. We look forward to receiving your application!

PostNord Group AB

Forecasting sits at the heart of how PostNord runs - every volume we plan for, every route we optimize, every shift we staff starts with a forecast. We're now strengthening our Forecasting team and looking for a Senior Data Scientist to be a central pillar in building something stronger. This is a senior individual-contributor role. The team already has a Tech Lead and a Product Owner, so you won't be carrying out the roadmap or line management. Instead, your seniority shows up in the quality of your models, the judgement behind your decisions, and your ability to lift the people around you. Join us The Technology Acceleration area within Group IT is responsible for establishing the future IT landscape - the foundation for PostNord's continued AI- and data-driven journey. In the Forecasting team you'll combine deep machine learning craft with real business understanding to deliver forecasts that operations actually trust and act on, across the logistics domain. You won't just build models. You'll help decide where forecasting creates the most value, what's worth improving, and what's better rebuilt from scratch. Job duties Develop, improve, and maintain forecasting models for core logistics use cases - volumes, routes, staffing, and beyond. Evaluate what we already run and make pragmatic calls: optimize, replace, or redesign from the ground up. Get close to the operation - translate messy operational reality and business challenges into robust, scalable forecasting solutions. Ensure that the forecast holds up in production: data quality, feature engineering, and reconciling planning horizons and cadences. Collaborate with data engineers, domain teams, and the wider analytics community on our Databricks platform. Raise the bar around you - share knowledge, mentor colleagues, and help establish forecasting and model-lifecycle best practices. Communicate insight, trade-offs, and uncertainty clearly to both technical and non-technical stakeholders. Extensive experience as a Data Scientist with a strong focus on machine learning and forecasting, and a track record of models running in production. Strong grounding in time-series modelling, statistical methods, and modern ML approaches. Strong programming skills in Python and SQL. Experience with modern data platforms - Databricks is highly relevant. A genuine ability to connect technical solutions to business impact, and the maturity to work hands-on while helping shape technical direction alongside the Tech Lead and Product Owner. Strong collaboration and communication skills. Meritorious experience Experience in logistics, supply chain, or other operational forecasting domains - though we equally value strong forecasting craft brought in from any data-heavy domain. Probabilistic forecasting, hierarchical forecasting, or optimization. MLOps practices and model lifecycle management. Scaling models in cloud environments, preferably Azure. Experimentation frameworks and model evaluation techniques. Mentoring or informally leading other data scientists. Comfort working in an engineering organization that leans heavily on AI tooling to move faster. Language requirement Fluent English in speech and writing. Proficiency in at least one Scandinavian language is meritorious. Why this role matters Better forecasts mean better decisions - fewer surprises in the network, smarter staffing, and capacity planned where it's needed. As a senior member of the team, you'll be a key reason our forecasting capability gets stronger, faster, and more trusted across the business. Your profile You're a senior, mature data scientist who pairs technical excellence with a strong business mindset. You're pragmatic - able to improve what exists and know when to start over. You're comfortable engaging directly with stakeholders, and you instinctively lift the people around you without needing a title to do it. Most of all, you want to help build something stronger: a high-performing forecasting team that delivers real operational impact at scale. We offer A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey The freedom to shape how forecasting is done at scale in a leading logistics company Apply Welcome with your application! We encourage you to apply as soon as possible, as we review applications on an ongoing basis. Please note that due to the summer holiday period, the earliest feedback will be provided in mid-August. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

Epidemic Sound

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking — from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We're an industry leader with a startup mentality. We take what we do seriously, but we don't take ourselves too seriously. Come create with us, and let the world feel your work. As a Senior Data Analyst, you'll join an embedded, AI-native analytics team that sits inside the commercial and product domains driving our growth. You'll work shoulder-to-shoulder with the VP of Revenue Operations and Global Sales Leadership as we scale our enterprise business — defining what success looks like across the full bow-tie funnel, from pipeline generation to expansion revenue, and proving it with data. You'll have a dedicated mandate within the Enterprise GTM org while drawing on the shared infrastructure, engineering support, and peers of our central Data & Analytics team. WHAT YOU'LL DO * Partner with RevOps and Sales leadership to define success metrics, surface growth opportunities across the enterprise bow-tie funnel, and shape GTM strategy with evidence — proactively raising the questions stakeholders haven't thought to ask. * Build and refine the models that steer the business — customer segmentation for territory and capacity planning, lead and account scoring for pipeline quality, and forecasting for pipeline and revenue. * Make our data trustworthy for agentic analytics — enrich context and metadata, and use AI coding tools to ship instrumentation and data-quality fixes directly so both people and AI tools can rely on it. * Own the analytical backbone of how the enterprise business is steered — KPI and metric definitions aligned across Sales, Marketing, and Finance, and the monthly, quarterly, and annual performance forums, owning the narrative, not just the slides. * Close data gaps and build scalable, self-serve measurement infrastructure so GTM teams can monitor long-term performance without you in the loop. * Uphold rigor as self-serve expands — push back on false precision in pipeline and forecast numbers, set the bar for what good analysis looks like, and resist sophistication, statistical or AI, where a simpler approach serves the decision better. WHAT YOU'LL BRING * Senior-level influence. You've driven real business impact by shaping decisions at the leadership level and moving revenue outcomes. * High agency. Habit of driving decisions through tailored communication and data storytelling. * Sharp analytical instincts. You scope vague questions with vetted frameworks, state hypotheses up front, and reason to a defensible answer even with imperfect data. * Sound judgement about data. A solid grasp of statistics and the discernment to know when past data predicts the future and when to override it for where the business is heading. * Technical versatility. Proficiency across SQL and Python (notebooks in Hex), dbt (on BigQuery), plus experience with AI coding tools and techniques including context engineering and evals. * PLG/SaaS fluency. Hands-on experience in product-led and SaaS businesses, with a solid grasp of subscription economics and the metrics that drive them. MUSIC TO OUR EARS * Experience across the B2B GTM funnel — Sales, Marketing, and RevOps — with funnel, segmentation, and forecasting analytics. * Data modelling know-how and experience with semantic layers. * A track record of defining metrics and steering frameworks for enterprise or 0→1 commercial motions. WHAT WE'LL OFFER * A fast-paced environment with real room for personal growth and tangible impact on the business. * The chance to help write the new playbook for running Analytics in the AI era, combining timeless principles with fresh learnings from emerging tooling. * A diverse, collaborative team of Analysts and Engineers building together. EQUAL OPPORTUNITY EMPLOYER We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. APPLICATION Ready to make the world feel your work? Please apply, in English.

Mondelez Sverige Production AB

Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Possible. Join our team in Upplands Väsby, Sweden office as Demand Planner. You will develop the 0-24-month IBP forecast by brand and at the stock keeping unit (SKU) level. You will coordinate, challenge and influence building block with input from sales, marketing and other partners. In addition, you will review the disaggregated short-term demand plan, which includes SKU/location mix and weekly pacing. Finally, you will provide the finalized detailed demand plan by SKU to supply planners and adjust it based on feedback from supply planners or commercial teams. How you will contribute You will: Contribute to the demand management cycle of the integrated business planning (IBP) process for your categories and to strategy and structure discussions Liaise with the commercial and operational teams and develop ways to continuously improve communication between the functions to support the delivery of the business KPIs for their families Manage forecast compilation process, which includes owning the short-term weekly plan and the long-term forecast (three or more months) Interact with modelling team to generate statistical forecasting Participate in the integrated business planning process and manage the demand planning tool Perform root-cause analysis for continuous plan improvement for key service issues, forecast error and bias, and share output with appropriate leadership What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Experience in a fast-moving consumer goods or consumer packaged goods environment, preferably in food or other fast moving, dynamic industry where shelf life is a constraint Experience within an IBP/S&OP environment Able to influence cross-functional teams, working on priorities and improving the plan Excellent problem-solving skills, analytical skills – and able to understand and interpret data Strong verbal and written communication skills Team player who can work with many other functions on a daily basis English language knowledge is mandatory and Swedish is nice to have More about this role Work schedule: 100% We offer: Health & Benefits: Friskvårdsbidrag (Wellness allowance), on-site gym, health check-ups at age intervals, and subsidized on-site massage and chiropractor. Food & Shopping: Subsidized lunch in our canteen and favorable discounts in our staff shop. Easy Everyday Life: Fenced parking for all on-site employees and comprehensive employee support for health, work, and private life. Security: Collective agreement, contractual insurance, occupational health care, and extra compensation for parental leave. Community: art association and social activities.

Qred Bank AB

At Qred, we’re building the world's best bank for small businesses. Since launching 11 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair. With bold growth plans and strong momentum across multiple markets, we’re now looking for a Senior Credit Analyst for the next phase of growth. About the Role You will own the data strategy that drives our pre-collections policies, third-party collections performance, and Non-Performing Loan (NPL) divestments. This mission bridges the gap between technical execution and business impact by moving beyond operational reporting to directly influence our Loss Given Default (LGD) metrics. You will have end-to-end ownership of the data ecosystem that maximizes portfolio recovery value in close collaboration with our Finance and Credit Policy teams. Key responsibilities Design and implement robust champion/challenger A/B testing frameworks to evaluate the recovery performance of third-party collection agencies. Analyze early-stage delinquency data to refine pre-collections policies and prevent roll-rates into deeper delinquency segments. Build quantitative data models to evaluate the pricing, segmentation, and optimal timing for NPL forward-flow and spot sales. Partner with the Credit Policy team to integrate downstream collections insights into automated early underwriting decisions. Establish standardized data exchange processes, governance frameworks, and performance KPIs with external collection parties and vendors. What we’re looking for We are looking for a data-driven specialist with a highly structured approach to optimizing financial systems. You have a proven ability to drive alignment across cross-functional teams and external vendors, translating complex analysis into actionable strategic narratives. You are motivated to build scalable frameworks that directly protect bottom-line performance in a fast-paced fintech environment. Qualifications Several years of experience working with credit risk, collections analytics, or portfolio management within Fintech or Banking. Expert-level technical capability in SQL for data mining and structuring complex datasets from scratch. Experience building automated data visualization dashboards, preferably using Amazon QuickSight, Tableau, or PowerBI. Background in analyzing financial metrics such as Loss Given Default (LGD) and NPL portfolio valuation. It’s a plus if you have experience with Python for predictive modeling, statistical analysis, and automating data pipelines. Why Qred? This is the place to be if you’re looking for a place to grow. Qred is growing fast, and our Qredsters along with it. With a non-bureaucratic organization and delegated responsibilities, we make sure there’s a short path from idea to action. In addition to our great culture, you get to work with the latest cutting-edge techniques, full ownership, and last but not least a bunch of great competent colleagues to learn from! One Last Thing This is a full-time, permanent position based in our headquarters in Stockholm. We believe our culture thrives when we work together, which is why we have an office-first approach. To balance this with some flexibility, we have the option of working remotely one day per week. We review applications on a rolling basis and while the start date is flexible, the right candidate can join us immediately. Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law. #LI-Hybrid #LI-Remote #LI-Onsite

CHALMERS TEKNISKA HÖGSKOLA AKTIEBOLAG

Do you want to use advanced simulation methods to understand and improve the performance of fuel cells? Join Chalmers and contribute to atomistic modelling of catalytic reactions to enhance the stability of proton-exchange membrane fuel cells. About us Chemical Physics develops sustainable energy systems by using heterogeneous (electro) catalysis for alternative fuel production, emission control, energy storage, and fuel cells. The research is interdisciplinary with strong connections between fundamental and applied science. Chemical Physics is a dynamic and international environment that strives for scientific excellence through teamwork and combined theoretical and experimental efforts. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field modeling and Monte-Carlo simulations for reaction kinetics. By linking quantum mechanical calculations with kinetic modeling, it is possible to bridge both length and time scales. About the research project Proton-exchange membrane fuel cells (PEMFC) convert the chemical energy in hydrogen to electrical energy. The main parts of a PEMFC are the anode, cathode and electrolyte. The reactions at the anode and cathode electrodes are catalyzed by metal nanoparticles on carbon. A current issue for large scale implementation of the PEMFC technology is long-term stability. The project will use atomistic first principles methods to understand the governing mechanism for fuel cell degradation. Increased understanding of the governing processes will provide information on how catalysts could be improved and how the system should be operated to minimize degradation. The project is a collaboration between Volvo Technology AB and Chemical Physics at Chalmers. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits* in in Physics, Chemistry or Materials Science* Background in quantum mechanics, thermodynamics and statistical mechanichs Documented experience in programming Strong interest in atomistic modeling of surface reactions Good communication skills in written and spoken English *for students with an education earned outside of Sweden, a 4-year Bachelor's degree is accepted. The following experience will strengthen your application: Experience in atomic scale modeling Experience from modeling reaction kinetics Experience in python programming What you will do Perform research in the project Develop your own scientific concepts and communicate the results of your research verbally and in writing Take courses at an advanced level within the Graduate school of Materials Science or Physics (https://www.chalmers.se/en/research/we-train-new-researchers/graduate-schools/ ) The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 35,725 SEK per month (valid from May 1, 2026). Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn. What we offer As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/ for employees. A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/ Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers https://www.chalmers.se/en/research/we-train-new-researchers/about-doctoral-studies/. Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal letter A brief introduction about yourself. A brief motivation as to why you are interested in this position. Bachelor's and, if available, master's thesis together with the transcripts. Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than August 16 For questions, please contact: Henrik Grönbeck Professor email: ghj@chalmers.se, Phone:+46702862459 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.