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Digital Risk and Compliance - Data Scientist

Sanofi

Barcelona

Presencial

EUR 40.000 - 60.000

Jornada completa

Hace 13 días

Descripción de la vacante

A leading healthcare company in Barcelona is seeking a Data Scientist in Digital Risk and Compliance. This hybrid role involves collaborating with teams to analyze data and create AI/ML models to support risk management. The ideal candidate has over 3 years of experience in data science, preferably in healthcare. Join us to pursue progress and improve people's lives.

Servicios

Opportunities for professional growth
Diverse and inclusive team environment

Formación

  • Over 3 years of experience in data science projects, preferably in healthcare.
  • Hands-on experience with AI/ML modeling.
  • Ability to perform exploratory data analysis.

Responsabilidades

  • Collaborate with teams to define technical requirements from data-driven opportunities.
  • Gather and analyze data to implement relevant models.
  • Design and optimize AI/ML models.

Conocimientos

Data analysis
Statistical methods
Machine learning
Python programming
Communication skills

Educación

Master’s Degree or PhD in a quantitative discipline

Herramientas

AWS
GCP
Databricks
Tableau
PowerBI
Descripción del empleo
Digital Risk and Compliance - Data Scientist

Location : Barcelona (Hybrid, 3 days at the office & 2 days working from home)

At Sanofi, our Digital Risk & Compliance team drives risk management and compliance within the Digital function. The team’s vision is to enable digital risk management and compliance at the speed of business to protect patient safety and Sanofi growth through the following mission :

Partner with digital product teams to provide strategic and subject matter advice across multiple risk domains (CyberSecurity, Data Privacy, GxP, Sarbanes-Oxley, Artificial Intelligence …)

Translate compliance requirements into effective controls and optimized processes

Drive Quality & Risk culture through education & advisory, automation & self-service, predictive / prescriptive risk monitoring

To achieve this ambition, one of our key drivers is to foster the Digital risk culture through automation, self-service predictive / prescriptive risk monitoring.

Our global Digital Risk & Compliance team operates at Sanofi’s scale as a transversal Centre of Expertise serving the whole Digital Function.

Main responsibilities
  • Collaborate with business teams to identify and translate data-driven opportunities into technical requirements, while effectively communicating complex concepts to non-technical stakeholders to influence decision-making and ensure alignment with overall business goals.
  • Gather relevant data from various sources, and perform relevant analysis to propose and implement relevant data models for each business case.
  • Apply statistical methods and machine learning techniques to extract insights from datasets.
  • Design, implement and fine-tune AI / ML models using various algorithms and tools.
  • Present findings through clear and informative charts, graphs, and dashboards.
  • Support senior team members in understanding business teams requirements, and translate them into technical needs.
  • Lead data analysis and science, focusing on data- and integration-intensive initiatives related to digital risk and compliance.
  • Work closely with Digital and business stakeholders to understand requirements, analyze data, and provide insights that support decision-making and risk management in our digital landscape.
  • Ensure data-driven insights inform risk management strategies and compliance initiatives.
Experience
  • Over 3 years of experience of handling complex data science projects in varied business contexts, with experience in healthcare or risk and compliance being a strong plus.
  • Hands-on AI / ML modeling (possibly through internships / academic work).
  • Ability to perform exploratory data analysis.
  • Knowledge in production-ready software development.
  • Experience in developing deployable models.
Education
  • Preferred qualifications : Master’s Degree or PhD in mathematics, computer science, engineering, physics, statistics, or a related quantitative discipline with strong coding skills.
Soft skills
  • Strong curiosity and eagerness to learn new concepts and technologies.
  • Good communication skills, both written and verbal.
  • Problem-solving ability and analytical thinking.
  • Attention to detail in data handling and analysis.
  • Ability to contribute to a diverse and inclusive team environment.
  • Willingness to ask questions and seek guidance when needed.
  • Experience in developing deployable models.
Technical skills
  • Experience in developing deployable models.
  • Proficient in Python programming and familiarity with big data concepts and tools.
  • Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark).
  • Ability to use standard visualization tools to create reports and dashboards (such as Tableau, PowerBI, …).
  • Awareness of responsible AI principles and AI regulations.
  • Knowledge of software development practices and version control (e.g., Git).
  • Experience in developing deployable models.
Languages
  • English is required. French would be a plus.

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.

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.

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