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Data Scientist

Sanofi -
Barcelona, Barcelona provincia

Solicitar ahora

Detalles del empleo

Cualificaciones

Jira
Azure
Derecho
Informática
Inglés
Máster
AWS
NLP
APIs
Agile
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

Data Scientist

Location: Barcelona

About the Job

We are seeking a highly skilled data scientist to drive innovation and impact at the intersection of AI and Commercial Pharma operations. This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.

In this role, you will

Design, develop and deploy the scalable AI, GenAI and agentic AI solutions aligned with strategic priorities across Sanofi’s Global Business Units
Directly contribute to digital transformation of commercial functions, with impactful use cases such as
- Autonomous agents for omnichannel engagement
- AI & GenAI driven transformation of market access and payer strategies
- Conversational AI for data interactions and insights (Talk-to-data capabilities)
- Development of unified platform of sales, marketers and MSL users powered by multi-agent systems
- Enhancing the patient journey through intelligent and personalized support
Work closely with product owners, business stakeholders, data scientists, and engineering teams to deliver the AI products that create measurable business value
Provide critical input in shaping the digital Commercial AI strategy
Influence the AI platform and data foundation strategies
Use creative ways to tell stories to technical and non-technical audiences
Make sure that AI solutions stay compliant with the responsible AI framework
Adhere to and promote to best practices and standards for GenAI/Agentic AI process (including documentation) and code developments
Remains up to date with evolving GenAI, Agentic AI and other AI landscape, bring in best practices, tools and other innovative ideas to enhance existing solutions
Mentor and coach junior data scientists and interns

Required Qualifications

Master’s degree (or equivalent experience) in Computer Science, AI/ML, Mathematics, Physics, Computational Linguistics, or a related field
1–3 years of experience in applied AI/ML, with initial exposure to Generative AI or LLM-based applications
Proficiency in Python; familiarity with PySpark is a plus
Basic experience with AI/ML libraries and frameworks (e.g., Transformers, LangChain, or similar tools)
General understanding of NLP concepts, including regex and basic text processing techniques
Experience working with structured and/or unstructured data; familiarity with databases such as Snowflake or vector databases (e.g., Pinecone) is a plus
Understanding of prompt engineering and interest in agentic workflows or AI orchestration concepts
Ability to write clean, modular code (functions, classes) and contribute to AI-driven projects in a collaborative environment
Exposure to deploying models or applications in a production or pre-production environment is a plus
Basic understanding of the AI/ML lifecycle (data preparation, modeling, evaluation, deployment)
Familiarity with cloud environments (AWS, GCP, or Azure) is a plus
Experience working with APIs is desirable
Awareness of ethical and regulatory considerations in AI is a plus
Comfortable working in an Agile environment; familiarity with tools such as Jira or Confluence is a plus

Functional Skills

Experience in communicating with business, expressing important AI, GenAI & Agentic AI concepts in a non-technical way, interpreting feedback from business
Experience in leading the data science & AI projects and working closely with junior data scientists and data analysts
Identify and manage blockers, risks, and interdependencies across Agile teams
Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
Nice to have experience in life sciences and healthcare and experience in a complex global organization
A demonstrated ability to work and collaborate in a team environment, working with multi-cultural global team
Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities
Fluent in English (Other languages a plus)

When joining our team, you will experience

An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
An attractive, market-oriented salary and other benefits
Flexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days
Collective life and accident insurance
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
Your own career path within Sanofi. Your professional and personal development will be supported purposefully

#LI-Hybrid #BarcelonaHub #SanofiHubs

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