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Data Science and AI Intern

Faurecia -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Stage
Il y a 12 jours

Qualifications

TensorFlow
Git
Anglais
Master
Machine learning
NLP
Master 1
Keras
Python

Description complète du poste

Forvia, a sustainable mobility technology leader

Our Group Data Office & Digital Transformation is looking for Data Science & AI intern to join the Data Program Team at our Bercy site in Paris.

New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, FORVIA anticipates the future of mobility by developing cutting-edge solutions for smart life on board and sustainable mobility. If you’re willing to contribute and create value for tomorrow’s cleaner and smarter mobility, FORVIA is the place to be. #JTS

About the Data Program :

It is your trusted partner for advanced analytics and machine learning solutions. Its main goal is enabling people and gaining valuable insights from data. Following the mission to create business value at scale by leveraging data at the core of its decision-making along the value chain. It operates in close alignment with BGs, regions, and functions, and it continuously advances the analytics solutions and global setup to be effective and efficient.

Within GIT, the role of the Group Data Office & Digital Transformation is to lead the transformation across business functions and processes. The goal particularly includes implementing Data/AI/GenAI driven culture by fostering innovation, expertise and business satisfaction.

Join FORVIA to help shape the future of mobility and contribute to a cleaner, smarter tomorrow.

Your mission, roles and responsibilities

Your main mission will be to assist in the following areas/subjects:

Integrate available tabular models in support of analytics, reporting, and advanced machine learning use cases.
Benchmark and evaluate different modeling approaches for structured/tabular datasets, ensuring performance, scalability, and robustness.
Implement and maintain data modeling best practices (e.g., feature engineering, data preprocessing, and model validation) tailored to tabular data environments using tabular models.
Contribute to the integration of machine learning models (including, where relevant, generative AI) with a strong emphasis on structured data pipelines and tabular use cases.
Enhance and maintain existing Data Products by improving their underlying data models, data quality, and performance.
Develop and manage scalable data architectures supporting tabular data, ensuring proper monitoring, governance, and compliance.
Integrate automation and advanced tools across the data product lifecycle, with a focus on improving efficiency in tabular data processing and modeling workflows.

This list of missions is not exhaustive; additional responsibilities may be introduced depending on the evolution of our organization.

Your profile and competencies to succeed

BAC+4/5, Engineer with robust background in data science, mathematics, statistics, physics or related field (Grandes écoles d’ingénieur)
Fluency in English is mandatory
Familiarity with pretrained tabular models such as TabPFN
Strong knowledge in Machine Learning (NLP, embeddings, agentic AI, but also classification, regression, clustering methods)
Strong knowledge in Python and PySpark
First experience on one of the available ML/DL frameworks (scikit-learn, tensorflow/keras, etc)
Familiar with Git and IDEs (such as pycharm, VS code)
You enjoy communicating your findings in innovative and appealing ways
You are autonomous, creative, and like taking initiative to test new ideas
You are curious and determined to go the last mile
You can learn on the fly and you like working in a team environment

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 is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.

In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.

As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : supplier quality engineer (massy, a8)

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