Data Scientist I

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.

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 governanceensuring 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.

We believe youre 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.