Work with us towards a greener future Climate change is a reality. As a mobility provider, we recognise our impact on the environment and are determined to play our part in contributing to sustainable solutions. And it’s so exciting – we’re well on our way on our journey towards full electrification. If you share our commitment for creating a positive environmental impact, then join us in our mission to advance towards a greener future. <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:24.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Let's introduce ourselves</H2> </div><div>This role will join Commercial & Marketing Data, a team at the center of how Volvo Cars turns data into commercial impact across the full customer journey, from first interest to lasting loyalty. We are responsible for advancing data maturity, insights, and data science across the commercial landscape by building reusable, governed, and high-quality data products that make decision-making and product development more scalable, reliable, and effective.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:24.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">What you'll do</H2> </div><div>As a Data Scientist in our Commercial Analytics & Data Science team, you will apply data science and machine learning to create decision-grade insights and predictive signals that improve how we understand and serve customers across key journeys. Your responsibilities will include: • Build, validate, and maintain predictive models that generate decision-grade signals across commercial customer journeys (e.g., churn and propensity), and adapt the modeling focus as priorities evolve (e.g., acquisition, conversion, retention, CRM/campaign optimization, channel optimization). • Translate business questions into measurable targets, features, and modeling approaches (classification, survival/time-to-event, uplift/causal approaches when applicable). • Engineer and curate features from enterprise customer and commercial datasets (e.g., identity resolution, event histories, ownership/service signals, digital behavior, CRM/campaign touchpoints, channel interactions), in collaboration with data engineering and domain teams. • Partner with stakeholders (product, marketing, CRM, sales, customer care, analytics) to turn model outputs into decision-grade signals (scores, segments, triggers) that can be used in reporting, experimentation, and activation. • Productionize models with clear documentation, reproducibility, and governance—ensuring model assumptions and limitations are understood. • Contribute to the long-term customer analytics / commercial modeling roadmap: what we model, why, and how we standardize the approach across use cases — with Customer 360 as a key near-term initiative.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:24.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">What you'll bring</H2> </div><div>We believe you’re a curious, pragmatic, and collaborative data scientist who can connect modeling work to real business decisions. Required / strongly preferred: • Strong experience in applied machine learning for customer analytics (churn, propensity, segmentation, scoring). • Solid statistical foundations (experimental thinking, bias/variance, calibration, confidence/uncertainty, causal pitfalls). • Proficiency in Python for data science (pandas, scikit-learn and/or similar) and SQL for analytics. • Experience working with large-scale data in a modern data platform (e.g., Snowflake / cloud data warehouse environments). • Ability to communicate clearly with both technical and non-technical stakeholders; comfortable explaining model performance, tradeoffs, and limitations. Nice to have: • Experience with time-to-event / survival analysis, uplift modeling, or causal inference methods. • Experience deploying models into production (batch or near-real-time scoring), plus monitoring and alerting. • Experience with feature stores, ML pipelines, or MLOps practices. • Familiarity with Customer 360 / identity resolution / customer master data concepts. Ways of working • You will work in a cross-functional environment with data engineers, analytics engineers, product partners, and domain experts. • You will be based in Stockholm and collaborate closely with stakeholders across Volvo Cars.</div></div></div>Volvo Cars. For Life. For nearly a century, Volvo Cars has empowered people to move freely in a personal, sustainable and safe way. Today, we are driving bold advancements in electrification, sustainability and automotive safety. To realise our ambitious vision, we are seeking innovative minds who are ready to tackle the challenges of tomorrow – today. In our company, we believe extraordinary things are achieved by ordinary people with the drive to make a difference. Ready to take the next step? Submit your CV in English and tell us why you’re the ideal candidate for a new role at Volvo Cars. Applications must be received no later than July 10th 2026. We are prioritising direct applications to ensure a fair and efficient application process. Please note that due to vacation break we will not be reviewing or getting back to applicants until week 33. For questions regarding the recruitment process, please contact Recruiter Simona Popencu at [email protected]. For specific questions about the position, please reach out to Hiring Manager Pierdomenico Polito at [email protected]. As part of the recruitment process, the final candidates might undergo a background check. We welcome your application!

Data Scientist I (Stockholm, SE, 11144) @ Volvo Car Corporation

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