Data Scientist

Description

The content of this role is written in English because it involves frequent work with the company's international subsidiaries, where English is the working language.

Based in Lyon, the team sits within the company's Manufacturing and Supply division, which links research to patients by making sure medicines are produced reliably, launched faster and delivered affordably worldwide.

The company sees manufacturing as a growing competitive edge, and digital tools as the driver of its next steps.

The Digital M&S Accelerator builds high-value digital products. You would support 12 blockbuster launch teams and 40 global factories across R&D and M&S.

You would work with real-time IoT data from production and laboratory equipment, alongside scientists and engineers on one of the strongest treatment pipelines in biopharma.

The programme aims to speed up 3-5 new blockbuster launches a year (each over €1B in annual revenue), build digitalised Lighthouse factories, and cut costs by over €500M within five years.

The office is in central Lyon, with cafés and restaurants nearby and good public transport links.

The role suits someone who questions the status quo, has deployed AI/ML solutions with robust lifecycle management, spots improvement opportunities and delivers across technologies and cross-functional teams.

Responsibilities

• Translate business teams' requirements into technical needs.
• Apply data science methods, including machine and deep learning, statistics, forecasting and optimisation, across several AI projects and products.
• Collect and organise large, complex datasets, analyse them and design data models suited to each use case.
• Write highly optimised code to build models, algorithms, simulations and experiments with current machine learning tools.
• Take work through the full range, from ML experiments to production-ready models.
• Use analysis, visualisation, storytelling and data technologies to scope, define and deliver AI-based data products.
• Work with developers, engineers and MLOps staff to industrialise scalable AI/ML solutions.
• Take part in and contribute to the global data science community of practice.
• Own the robustness of AI solutions.
• Apply the responsible AI framework and governance practices, including monitoring, explainability, trustworthiness and ethics.
• Mentor junior data scientists and analysts on career development and technical growth.

Requirements

• Have built deployable code and deployed models in agile, product-focused teams.
• Have developed production-ready software.
• Have applied machine learning or deep learning to commercial, industrial and research problems.
• Have worked with database mining, big data and large-scale virtual screening.
• Experience in a healthcare company is a strong plus.
• Experience in IoT and time series forecasting is a plus.
• Communicate well in writing and speech.
• Have worked with several teams to align and deliver results.
• Are service-minded, flexible and a positive team member.
• Are self-motivated and take initiative.
• Solve problems and think critically.
• Strong in business analysis, data visualisation and storytelling.
• Proficient in core data science languages such as Python or R, and familiar with SQL, NoSQL, graph and time series databases.
• Experience with sensitive data in critical environments such as healthcare or defence.
• Expertise in most of: supervised and unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics and optimisation.
• Work well in cloud and HPC settings, including AWS, GCP, Databricks and Apache Spark.
• Hands-on experience modelling complex datasets, with a solid grounding in AI/ML theory, CI/CD and orchestration.
• Experience with visualisation tools and libraries such as Tableau, Power BI, Streamlit, Plotly, seaborn or similar.
• Experience with various enterprise-level APIs.
• Good knowledge of AI regulations.
• PhD in mathematics, computer science, engineering, physics, statistics, economics or a related quantitative field with strong coding skills, OR a Master's degree in a relevant domain.
• Fluent in English and French.

Conditions

Permanent, full-time role in Lyon.

Hybrid: 60% in the office and 40% remote, with remote work up to 2 days a week.

The salary range is €54,400.00 to €72,533.

Final pay depends on experience, skills, location and other relevant factors.

Candidates are considered without regard to race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity, and the role is open to all genders.

Benefits

• A fixed salary paid over 12 months, plus a short-term incentive and a collective variable bonus based on group results.
• Quality health insurance, extended maternity and parental leave (18 and 14 weeks), enhanced illness support, and teleconsultation and second medical opinion covered, plus wellness programmes.
• 31 days of paid leave plus RTT, depending on your status.
• Up to 80% of public transport costs covered.
• Group Savings Plan and PERCOL with employer matching, plus PERO.
• Internal and international mobility, and learning and development opportunities.
• Peer recognition and service exchange platforms, carpooling, home exchanges, and CSE benefits.
• Eligibility for company employee benefit programmes.