Internship 6 Months Data Science

Sanofi; Paris; Sur place; EUR 12 000 - 18 000; Plein temps

Avantages offerts par ce poste

Internship bonus

Company restaurant

Résumé du poste

Sanofi is offering a 6-month internship in data science in Paris (16th arrondissement), starting January 2027, within the digital & data department. You will develop Marketing Mix Modeling and budget allocation tools to support data-driven decisions across channels, mentored by a collaborative team.

You will apply statistics and ML techniques, contribute to model implementation (incl. Bayesian methods), and present findings through dashboards.

Qualifications

• Pursuing or holding a Master’s degree in math, CS, engineering, physics or statistics.
• Strong interest in data science and ML.
• Fluent in English.

Responsabilités

• Participate in applying statistical methods and ML to extract insights from datasets.
• Help implement and fine-tune AI/ML models, incl. Bayesian methods.
• Present findings via charts, graphs, and dashboards.
• Collaborate with data engineers, software engineers, product owners and marketing stakeholders.
• Develop innovative data-driven solutions exploring new methods.

Connaissances

Curiosity

Communication

Analytical mindset

Supervised learning

Unsupervised learning

Deep learning

LLMs

Python

Big data

Database systems

Formation

Master's degree in Math/CS/Engineering/Physics/Stats

Description du poste

Job title : internship 6 months - data science

• Location: Paris 16e
• Starting : January 2027

About the job

As an intern within our digital & data department, you will help develop marketing mix modeling and marketing budget allocation optimization tools, which will help us make data-driven decisions about our marketing spend across multiple channels. Ready to get started? Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life - all while supported by inspiring mentors and collaborative teams.

About Sanofi

We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

Main responsibilities

• Participate in applying statistical methods and machine learning techniques to extract insights from datasets
• Take part in implementing and fine-tuning AI and ML models, using especially Bayesian inference algorithms
• Help present findings through clear and informative charts, graphs, and dashboards
• Collaborate with data engineers, software engineers, product owners and marketing stakeholders
• Contribute to creative approaches, developing innovative data-driven solutions, exploring new methodologies and thinking outside the box to tackle complex challenges

About you

• Soft and technical skills : curiosity, communication, analytical mindset. Knowledge in supervised and unsupervised learning , in deep learning, and in LLMs, experience with Python programming for data science and with big data concepts, basic understanding of database systems
• Education : Master's degree in mathematics, computer science, engineering, physics or statistics
• Languages : english fluent

Why choose us

• Launch your career with a company that invests in you - and empowers you to reimagine what's possible.
• Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.
• Grow in a purpose-driven company where your voice matters and your work helps improve millions of lives.
• Thrive in inclusive, flexible workplaces that support your personal and professional well-being.
• An attractive internship bonus.
• Depending on your location, access to a company restaurant with a contribution from Sanofi.
• Our recruitment process is designed to be fast and efficient. If your application is accepted, you will receive a call from our recruiter for an initial telephone interview, followed by a quick meeting with the manager.

Pursue Progress . Discover Extraordinary

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what's never-been-done-before. You'll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people's lives? Let's Pursue Progress and Discover Extraordinary - together.

Equal Opportunity statement

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Intitulé du poste

stage 6 mois - data science

Lieu

Paris 16ème arrt

A partir de

janvier 2027

À propos du poste

En tant que stagiaire au sein de notre département digital & data, tu vas aider à développer des outils de Marketing Mix Modeling et d'optimisation de l'allocation budgétaire marketing, qui nous permettront de prendre des décisions basées sur les données concernant nos dépenses marketing à travers plusieurs canaux. Prêt à commencer ?

Prêt(e) à développer tes compétences tout en participant à l'avenir de la santé ? Chez Sanofi, tu auras la liberté d'apprendre, de poser des questions et de donner vie à tes idées, le tout soutenu par des mentors inspirants et des équipes collaboratives.

À propos de Sanofi

Sanofi est une entreprise biopharmaceutique qui innove en R&D et exploite l'IA à grande échelle pour améliorer la vie des gens et créer de la croissance à long terme. Notre compréhension approfondie du système immunitaire - et notre pipeline innovant - nous permet d'inventer des médicaments et des vaccins qui traitent et protègent des millions de personnes dans le monde entier. Ensemble, nous poursuivons les miracles de science pour améliorer la vie des gens.

Principales responsabilités

• Participer à l'application de méthodes statistiques et de techniques de machine learning pour extraire des insights à partir d'ensemble de données
• Prendre part à l'implémentation et à l'optimisation de modèles d'IA et de M