R&D Data Scientist | Automotive

Your Role

As an R&D Data Scientist, you will play a key role in:

• Analysing vehicle telemetry, driving data, and unstructured data sources (including verbatim text) to build interpretable features and dimensions that define driving patterns and behaviours.
• Linking real-world telemetry data with survey responses, customer personas, and behavioural indicators to generate a rich, multi-dimensional understanding of driver profiles.
• Reviewing relevant academic and technical literature, assessing applicability to the project, and rapidly testing approaches through proof-of-concepts on real, messy data.
• Comparing and validating analytical methods — including clustering, dimensionality reduction, factor analysis, and supervised/unsupervised modelling — with rigorous attention to robustness, reliability, and limitations.
• Collaborating with engineers to ensure findings are technically grounded, and communicating results clearly with well-reasoned recommendations to both technical and non-technical stakeholders.

Your Profile

• Technical depth: Strong proficiency in Python for analysis, modelling and prototyping, combined with solid foundations in statistics, machine learning and AI — including feature engineering, dimensionality reduction and model validation.
• Applied research capability: Able to read and critically assess technical material, adapt methods to real-world constraints, and design experiments on complex, ambiguous datasets — going well beyond running standard pipelines.
• Engineering sensitivity: You understand what your data physically and behaviourally represents, and can judge whether results make sense in context — not just statistically, but meaningfully.
• Communication and autonomy: You work independently, structure your own analyses, challenge weak or ambiguous results, and clearly communicate assumptions, limitations and conclusions to diverse audiences.
• Fluent in English 
• Minimum 4 years of experience

What you will love about working here

• Empowering environment - Autonomy and Goal setting are among the top scores with 8,4+ ratings in our monthly employee feedback Pulse.
• FlexAbroad - Employees in 20+ countries can work abroad for up to 45 days in a 12-month period.
• Free access to learning platforms - Free access for all to world-class learning assets and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.
• Worldwide Leader of Engineering Services - Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. We help our clients unleashing their R&D potential to develop smart products and services of tomorrow.