R&D Data Scientist | Automotive

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help innovative companies unleash their potential. Join us for a career full of opportunities where you can make a difference.

Your Role

• Analyse vehicle telemetry, driving data, and unstructured data sources, including verbatim text, to build interpretable features and dimensions defining driving patterns and behaviours.
• Link real-world telemetry data with survey responses, customer personas, and behavioural indicators to generate a multi-dimensional understanding of driver profiles.
• Review academic and technical literature, assess its applicability, and rapidly test approaches through proof-of-concepts on real, messy data.
• Compare and validate analytical methods, including clustering, dimensionality reduction, factor analysis, and supervised and unsupervised modelling, with attention to robustness, reliability, and limitations.
• Collaborate with engineers to ensure findings are technically grounded and communicate results with well-reasoned recommendations to technical and non-technical stakeholders.

Your Profile

• Strong proficiency in Python for analysis, modelling, and prototyping, with solid foundations in statistics, machine learning, and AI.
• Knowledge of feature engineering, dimensionality reduction, and model validation.
• Ability to critically assess technical material, adapt methods to real-world constraints, and design experiments on complex, ambiguous datasets.
• Understanding of what data physically and behaviourally represents, with the ability to assess whether results are meaningful in context.
• Ability to work independently, challenge weak or ambiguous results, and communicate assumptions, limitations, and conclusions clearly.
• Fluent in English.
• Minimum 4 years of experience.

What You Will Love About Working Here

• Empowering environment with autonomy and goal-setting.
• FlexAbroad, allowing employees in more than 20 countries to work abroad for up to 45 days in a 12-month period.
• Free access to learning platforms and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google, and others.
• Opportunity to work with a worldwide leader in engineering services supporting the convergence of physical and digital technologies.