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R&D Data Scientist | Automotive

Capgemini -
Diegem

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Détails de l'emploi

CDI
Il y a 2 heures

Qualifications

Anglais
AWS
Machine learning
Python

Description complète du poste

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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