Data Scientist

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l’anglais étant la langue de travail. 

Job title : Data Scientist

• Location: Lyon, M&S Accelerator

• Work Arrangement: Hybrid (Three days from office and two days from home)

About the job

As a Data Scientist within our Digital Manufacturing & Supply (M&S) Accelerator , you'll take ownership of turning real-time signals from our factories and labs into decisions that matter — working at the intersection of drug development, advanced manufacturing, and cutting-edge AI. Ready to get started?

Join Sanofi's Manufacturing & Supply team right in the heart of Lyon, in a vibrant startup-style environment in the city centre. You'll support 12 blockbuster launch teams and 40 global factories across R&D and M&S, helping accelerate the launch of new medicines, build digitalised "Lighthouse" factories, and drive manufacturing performance improvements — all while enjoying an easy commute and a great work-life balance in one of France's most dynamic cities.

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

• Partner with business teams to understand requirements and translate them into technical solutions, working with a good degree of autonomy

• Own the ingestion, cleaning, and harmonisation of IoT and sensor data from a mixed estate — some fully connected and streaming, plenty of it legacy, manual, or messy. A meaningful part of the role is data cleaning and wrangling: it's the foundation everything is built on, and doing it well is genuinely high-impact here

• Design and deliver time-series models — forecasting, anomaly detection, and monitoring — on streaming sensor data to drive manufacturing performance and quality

• Design, build, and support real-time and streaming data pipelines together with engineers and MLOps, and help bring legacy sites up to a usable state

• Write highly optimised, production-ready code, taking models from experiment through to deployment

• Scope, define, and deliver AI-based data products end to end, using data analysis, visualisation, and storytelling

• Be accountable for the robustness of the AI solutions you deliver, applying responsible AI practices (monitoring, explainability, trustworthiness, ethics)

• Contribute to — and help raise the bar within — the global data science community of practice

• Support junior data scientists and analysts with informal guidance and code review

You'll also work across the wider AI portfolio — including LLMs, Retrieval-Augmented Generation (RAG), and agentic AI workflows — as our products increasingly blend sensor intelligence with GenAI. Strong here is a plus, but IoT and time-series is the core of this role.

About you

You're a capable data scientist with a few years under your belt, genuinely excited by physical-world data — sensors, signals, and the machines that produce them. You can take a problem from vague business need to deployed model with limited hand-holding, and you've got a keen eye for improvement opportunities.

Experience:

• Hands-on track record working with IoT data, sensor streams, or time-series (this is what we care about most)

• Demonstrated experience applying machine learning to real problems, ideally involving signals or temporal data

• Experience developing deployable code and taking models to production in an agile environment

• You're not put off by messy, real-world data — a big part of this role is turning inconsistent legacy data into something usable, and doing it well is where a lot of the value sits

• Knowledge of the pharmaceutical or chemical domain is a huge advantage — understanding of manufacturing processes, GxP, or lab environments will set you apart

Soft skills:

• Excellent written and verbal communication skills

• Experience working with multiple teams to drive alignment and results

• Service-oriented, flexible, positive team player

• Self-motivated, takes initiative

• Problem solving & critical thinking

Technical skills:

• Strong Python , and comfortable with at least one database system — time-series databases (e.g. InfluxDB, TimescaleDB) especially valued

• Solid command of time-series methods — forecasting, anomaly detection, signal processing — on streaming data

• Working knowledge of streaming / real-time data technologies (e.g. Kafka, Spark Streaming, MQTT or similar)

• Strong ML foundations: supervised/unsupervised learning, deep learning, with a solid grasp of the underlying theory

• Comfortable working in cloud and high-performance computing environments (AWS, GCP, Databricks, Apache Spark)

• Good software engineering practices — version control, testing, CI/CD, orchestration

• Experience with data visualisation tools (Power BI, Tableau, Streamlit, Plotly, seaborn, or similar)

• Experience handling sensitive data in critical environments (healthcare, etc.)

• Familiarity with LLMs, RAG, or agentic workflows is a plus, not a requirement

Education:

• Master's degree (or PhD) in engineering, computer science, mathematics, physics, statistics, or a related quantitative discipline with strong coding skills — backgrounds in chemical/process engineering, control systems, or signal processing are especially welcome

Languages:

• English and French

What we offer you:

A fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results.

Because taking care of our employees is also our mission:

• Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here .

• Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week

• Transportation: Public transport coverage up to 80%

• Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO

• Professional Development: Internal and international mobility opportunities, learning & development opportunities

• And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...

Why choose us?

We provide a highly open and collaborative environment, with the chance to work with a world-class team. You will be able to:

• Learn what it takes to build a service with a truly global reach

• Be part of an organisation that values diversity, inclusion, and the richness of different backgrounds and experiences

• Engage in meaningful work that combines the challenges of pharma, manufacturing, environmental matters, and technical fields — with abundant opportunities for professional growth and impact

• Grow your career at a company that's not only a leader in healthcare but a pioneer in digital transformation, shaping the future of global health

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