Senior Engineer - Data Science

## Forvia, a sustainable mobility technology leader

We pioneer technology for mobility experience that matter to people.

## Your mission, roles and responsibilities

We are recruiting a Data Scientist to design, build and deploy high-value AI solutions aligned with the strategic AI roadmap. Working with business, engineering, data and IT stakeholders, you will translate operational and Cost Management challenges into production-ready analytical products. Typical use cases include cost forecasting and simulation, should-cost modelling, cost-driver and variance analysis, savings opportunity identification, manufacturing process optimization, automated quality inspection, supply-chain analytics and intelligent product or enterprise solutions.

- Contribute to AI roadmap execution by defining use cases and prioritizing initiatives according to strategic fit, feasibility, value and scalability.
- Develop machine-learning, deep-learning, optimization, forecasting, generative AI and agentic solutions using robust experimentation and evaluation methods.
- Prepare, explore and validate structured and unstructured data; engineer reliable features and ensure data quality, lineage and reproducibility.
- Industrialize models with software-engineering and MLOps practices, including testing, versioning, deployment, monitoring, drift detection and retraining.
- Apply responsible-AI, security, privacy and governance requirements throughout the model lifecycle.
- Promote reuse, knowledge sharing and adoption across international, cross-functional teams.

## Your profile and competencies to succeed

Qualifications and skills

- Experience: 3–5 years for an experienced profile; 5+ years for a senior profile, with demonstrated delivery of data-science or AI solutions in production.
- Education: Master’s degree in data science, computer science, applied mathematics, statistics, engineering or a related quantitative field; a PhD is an advantage.
- Core data science: Strong knowledge of statistics, experimental design, supervised and unsupervised learning, forecasting, optimization and model evaluation.
- AI: Practical experience with deep learning and at least one advanced domain such as computer vision, natural language processing, generative AI, retrieval-augmented generation or AI agents.
- Programming: Strong Python skills and experience with SQL; ability to write clean, documented, tested and maintainable production code.
- Frameworks: Experience with libraries such as pandas, NumPy, scikit-learn, XGBoost, PyTorch or TensorFlow.
- Production and cloud: Familiarity with APIs, Git, containers, CI/CD, model registries, monitoring and at least one major cloud or enterprise data platform.
- Ways of working: Knowledge of Agile delivery and effective collaboration with product owners, data engineers, software engineers and domain experts.
- Communication: Excellent analytical, storytelling and presentation skills, including project reviews with customers and senior management.

Preferred additional experience

- Automotive, manufacturing, engineering, procurement, finance or product-costing experience.
- Knowledge of cost structures, bills of materials, commodity impacts, purchasing data, budgeting or profitability analysis.
- Experience in time-series modelling, computer vision, signal processing, optimization or reinforcement learning.
- Experience with Azure, Databricks, Palantir Foundry or comparable cloud and data platforms.
- Knowledge of data governance, explainability, privacy, cybersecurity and responsible-AI practices.
- Experience supporting adoption, change management or citizen-data-science communities.

Success in the role

- AI roadmap milestones delivered on time and transitioned from proof of concept to sustainable production use.
- Documented business value through cost savings, cost avoidance, productivity, quality, lead-time or revenue impact.
- Reliable model performance, adoption by target users, reuse across functions and compliance with governance standards.

## What we can do for you

- At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
- We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
- We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
- We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility.  Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
- We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
- Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

## Why join us

FORVIA, a global automotive technology supplier, comprises the complementary technology and industrial strengths of Faurecia and HELLA.

With over 137 500 people, including more than 12,000 R&D engineers across 40+ countries, FORVIA provides a unique and comprehensive approach to the automotive challenges of today and tomorrow. Composed of 6 business groups and a strong IP portfolio of over 12,400 patents, FORVIA is focused on becoming the preferred innovation and integration partner for OEMs worldwide.

In 2025, the Group achieved a consolidated revenue of 26.2 billion euros prior to IFRS 5. FORVIA SE is listed on the Euronext Paris market under the FRVIA mnemonic code and is a component of the SBF 120 index.

FORVIA aims to be a change maker committed to foreseeing and making the mobility transformation happen. www.forvia.com