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 mes