Data Scientist with a strong background in machine learning

Lendo AB

At Lendo, we’re driven by a clear mission: to empower people to make smarter financial decisions. Our work directly impacts how users understand and navigate complex financial journeys, and we take that responsibility seriously. We build our success on a culture where we live by our core values: customer centric, win as a team, focus on execution, and always improve. We are convinced that it is diverse perspectives, differences, and a strong collective drive that allow us to continue evolving. We are always looking for colleagues who wants to grow together with us. About the role We are looking for a Data Scientist to drive business impact through machine learning. We have already created significant value from ML across several areas and see strong opportunities to apply it even more broadly, including marketing, conversion optimization, and operational decision-making. We are looking for a Data Scientist who has successfully created business impact with ML and is energized by delivering measurable results. What you will do Build, deploy, and improve machine learning models that drive measurable impact across domains such as marketing, conversion optimization, and operational efficiency. Design, analyze, and interpret experiments, causal analyses, and marketing mix models (MMM) to guide marketing investments. Be a trusted advisor within ML and partner with product, business, and engineering teams to translate problems into ML solutions. Ensure models deliver continuous business value. About you 3+ years of experience as a Data Scientist, with a track record of shopping models that created measurable business value. Strong modeling expertise with solid foundations in statistics and machine learning, and a clear understanding of when and how to apply different methods Experience designing and interpreting experiments and casual analyses Ability to work effectively with non-technical stakeholders.. Ability to take initiative and drive ML opportunities end-to-end, from problem framing to deployment and measurable business impact. Strong Python programming skills and comfort working in production environments. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data & ML team that values well-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup. About the recruitment process As part of our recruitment process, we use psychometric testing through HI Assessments. We also perform a mandatory background check on all final candidates. We will always inform you as a candidate before the check is carried out. We look forward to your application!

PostNord Group AB

Forecasting only creates value when the business trusts it and acts on it - and that trust is built out in the operation, in conversations with the people planning volumes, routes, and staffing every day. We're strengthening our Forecasting team and looking for a Product Owner to own that bridge between the team and the business, and to help a talented group of specialists turn deep technical work into real operational impact. You'll own the what and the why - vision, roadmap, priorities, and value - working alongside a Tech Lead who owns the how. And as much as you'll shape the backlog, you'll shape the team: you're a natural coach who creates focus, clears the path, and helps skilled people grow their product and stakeholder instincts so they can do their best work. 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 be the connective tissue between deep machine learning capability and the operational decisions it exists to support, across logistics domains such as volumes, routing, and staffing. Job duties Own and communicate a clear product vision and roadmap for forecasting - grounded in business value. Spend real time out in the operation: build relationships across logistics business units, understand how planning decisions are actually made, and bring that context back to the team. Be the trusted face of the team to the business - manage expectations, communicate progress and trade-offs honestly, and build demand and adoption for what forecasting can do. Translate operational challenges into a prioritised, well-shaped backlog the team can act on with confidence. Coach and support the team - create focus, remove obstacles, shield them from noise, and help colleagues develop their product thinking and stakeholder skills. Define what "good" looks like: connect forecasting work to decision quality, trust, and measurable business outcomes. Partner closely with the Tech Lead and Senior Data Scientists to balance ambition with what's realistically deliverable. Solid experience as a Product Owner or Product Manager, ideally for data, analytics, or other decision-support products. A proven coach and team builder - you lead through influence and clarity, and you bring the best out of skilled people without relying on authority. Strong stakeholder and relationship skills, and the energy and confidence to spend much of your time out in the business rather than behind a desk. The ability to translate fluently between business needs and technical reality, in both directions. Comfort with how data science and forecasting actually work - you don't need to build models, but you understand uncertainty, iteration, and why these products behave differently from standard software. Strong prioritisation and communication skills. Meritorious experience Background in logistics, supply chain, or operational planning. Experience owning analytics, ML, or forecasting products. Familiarity with Databricks and Azure environments. A track record of growing the product and delivery maturity of a technical team. Agile or lean delivery experience. Language requirement Fluent English in speech and writing. Because so much of this role is spent face to face with the Nordic business, proficiency in at least one Scandinavian language is strongly meritorious. Why this role matters Forecasting sits at the core of how PostNord plans and runs its network. The difference between a model and a measurable impact is adoption - and adoption is your job. You'll be the reason the business understands, trusts, and acts on what the team builds, and the reason a strong team keeps getting stronger. Your profile You're an experienced product person who leads through people. You get your energy from being out in the business, listening hard, and turning what you hear into clear direction. You're a coach at heart - you create focus and momentum, and you help others grow rather than doing everything yourself. You hold a firm line on priorities while keeping the team motivated and protected from distraction. You're pragmatic, trusted, and equally at home in an operational planning meeting and a technical refinement session. Most of all, you want to help build something stronger: a high-performing forecasting team whose work the whole organisation relies on. We offer A central, high-visibility role connecting your team to the heart of the business A cutting-edge analytics environment built on Databricks and Azure A central role in accelerating PostNord's AI- and data-driven journey Apply Welcome to submit 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.

Coop Sverige AB

Coop Sverige – Together we make food-Sweden sustainable At Coop we are building the data backbone of a truly data-driven company. We run stores for our 4.2 million members, and our motto is “Relevance in every touchpoint.” Understanding our customers’ needs and behaviours is what fuels our innovation – from purchasing and logistics to personalised customer experiences. We are now strengthening our Data Platform team with a skilled Data Engineer to help us build scalable, cloud-native data solutions on Azure. About the role You will be part of our Data Platform team, which sits within Coop’s AI & Business Intelligence organisation – the team building the data foundation that powers analytics, reporting, operational intelligence and AI across the company. In this role you will design, build and optimise enterprise-grade data platforms using Azure Data Services, Databricks, modern Data Lakehouse architectures, real-time streaming and DevOps automation. You’ll turn data from across the business into trusted, high-quality data products that the whole organisation can rely on. What you will do Design and implement scalable batch and real-time data pipelines using Azure-native technologies. Build and maintain robust data ingestion frameworks from multiple source systems, APIs and event streams. Develop and manage Medallion Architecture (Bronze, Silver, Gold) within the enterprise Data Lake. Implement streaming solutions with Kafka, Event Hub and Service Bus for event-driven processing. Develop transformation frameworks using Databricks, PySpark and Delta Lake. Collaborate with business stakeholders, data analysts and data scientists to deliver trusted, high-quality data products. Enable CI/CD pipelines and automate deployments using Azure DevOps best practices. Drive platform optimization focused on performance, scalability, reliability and cost efficiency. Ensure adherence to data governance, security, monitoring and operational excellence standards. Who are you? To succeed in this role, we believe you have a genuine passion for getting value from massive datasets and love working with state-of-the-art technologies that make completely new data-driven solutions possible. You enjoy working with different tasks and stakeholders, you are result-oriented, and you spark when given room to take initiative and create solutions. As a team, we believe in supporting and challenging each other and growing a positive, learning culture. We believe that you Have strong hands-on experience with the Azure data platform – Azure Data Factory, Azure Databricks, Data Lake Storage Gen2 (ADLS), Azure Functions, Event Hub and Service Bus. Are highly skilled in Databricks and the Lakehouse – PySpark, Spark SQL, Delta Lake, Databricks Workflows, Unity Catalog and performance tuning, applying Medallion and Lakehouse architecture in practice. Are strong in data architecture and modelling – Lakehouse and Medallion design, ETL/ELT frameworks, and data quality & validation frameworks. Have experience with streaming and integration – Apache Kafka, event-driven architecture, Service Bus, batch ingestion / Autoloader and REST APIs. Are a confident programmer in Python, PySpark and SQL. Work the DevOps way – Azure DevOps, CI/CD pipeline development and Infrastructure as Code (Terraform preferred). Are comfortable with monitoring and operations – Log Analytics, Application Insights, and performance tuning & troubleshooting. Can communicate effectively with both technical specialists and non-technical stakeholders. It’s meritorious if you Have 5+ years of experience in data engineering. Have built enterprise-scale Azure data platforms hands-on. Have worked with retail, logistics or large-scale operational data environments. Have supported machine learning and advanced analytics workloads. Have a strong understanding of distributed data processing and streaming architectures. About us The grocery trade is a stable, long-term industry, and Coop’s offering is essential to the transition toward a greener, more sustainable future. You’ll join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. Our office in Solna Business Park offers a modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. At Coop, we work for our 4.2 million members, making us by far the largest cooperation in Sweden. If you have questions about the position, you are welcome to contact Hiring Manager Jakob Liljedahl (jakob.liljedahl@coop.se) or the recruiter Andreas Nilsson (andreas.nilsson2@coop.se) Welcome with your application! For a sustainable future together:Coop is Sweden's largest cooperative and a leading player in the grocery retail sector, with over 4 million members. We focus heavily on sustainability and work to create a greener and more just future by offering sustainable products and services. We believe that a diversity of perspectives and experiences is key to creating a more inclusive and successful workplace. Therefore, we welcome everyone, regardless of gender, age, background, or ethnic origin.