Job title: Data Scientist - Risk & Compliance

  • Location: Hyderabad – RMZ spire

About the job

We are the Digital Risk & Compliance team (DRC). Our mission is to drive Digital Risk & Compliance to protect patient safety and Sanofi growth. One of our key drivers is to foster the Digital risk culture through automation, self-service predictive/prescriptive risk monitoring.

We aim to provide Digital teams with accurate, real-time, and complete data in order that they be empowered for managing risk & compliance of their Digital Solution(s)

To support this journey, we are looking for a Data Scientist Lead – Risk & Compliance who will be responsible for modelling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques to drive the execution of the real-time monitoring strategy.

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As Data Scientist Lead – Risk & Compliance within our Digital Risk & Compliance team, you’ll be instrumental to build and develop the organization’s data infrastructure and supports the senior leadership and Digital teams with insights, management reports, and analysis for decision-making processes.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main responsibilities: -

  • Data management & Transformation incl. data acquisition, analytics development, insights generation for Digital/Business and senior leadership

  • Process & Tools configuration incl. toolsets selection, data management process design and Key Risk Indicators (KRI) development

  • Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient

  • Work closely with DRC Data Monitoring lead (who is the DRC Data Monitoring Product Owner) to prioritize controls for automation, monitoring, and design KRIs

  • Work with DRC Strategy & Governance and technology partners to automate data management, analytics, visualization and reporting processes.

About you

  • Experience : bachelor’s degree in a scientific, engineering or Digital/IT discipline

  • 8+ Experience in data analytics / business intelligence, machine learning, statistical modelling / data mining, and data visualization, along with proficiency in data analysis tools and languages such as Python, R, SQL, and Tableau

  • 4+ Experience working in the Life Sciences industry.

  • Soft skills: Business partnering and consulting.

  • Adaptability to a changing and highly dynamic work environment

  • Strong critical thinking and problem-solving skills

  • Demonstrated leadership skills and ability to effectively influence and make decisions, in a global setting.

  • Technical skills: Data transformation (data preparation, analysis, visualization, engineering)

  • Artificial Intelligence, Machine learning engineering

  • Coding & development

  • Compliance of computerized system (e.g. GxP, SOX)

  • Dashboard / report development

  • Languages: Fluent in English.

Why choose us?

  • Bring the miracles of science to life alongside a supportive, future-focused team.

  • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

  • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

  • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

“The Data Scientist Lead will be instrumental in our transformation strategy to empower Digital teams for the risk & compliance of their Digital products”