Senior Engineer - Data Science

Faurecia · Pune/Pimpri-Chinchwad Area

  • Experience3–5 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted21 Sept 2026

About Faurecia

Faurecia is hiring in Pune/Pimpri-Chinchwad Area in automotive mobility. This role looks for around 3+ years of experience.

Skills

  • machine learning
  • deep learning
  • optimization
  • forecasting
  • model evaluation
  • Python
  • SQL
  • pandas
  • NumPy
  • scikit-learn
  • XGBoost
  • PyTorch
  • TensorFlow
  • APIs
  • Git
  • containers
  • CI/CD
  • model registries
  • monitoring
  • Agile
  • statistics
  • experimental design
  • supervised learning
  • unsupervised learning

The role

A data scientist at an automotive technology company develops production AI solutions for manufacturing and cost analytics, applying machine learning, forecasting, and generative AI. The role also uses Python and MLOps to industrialize models.

Full job description

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