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Data Scientist

Sanofi

Posted about 17 hours ago

About this role

Full Time Senior Data Scientist in healthcare at Sanofi in Budapest, Hungary. Apply directly through the link below.

At a glance

Work mode
Office
Employment
Full Time
Location
Budapest, Hungary
Experience
Senior
Education
Master's degree or equivalent

Core stack

  • Machine Learning
  • Cross-functional
  • Computer Science
  • Data Science
  • Performance
  • Forecasting
  • Innovation
  • Healthcare
  • Snowflake
  • Analytics
  • Power BI
  • Python
  • Design
  • SOLID
  • SQL
  • NLP
  • SAP
  • ML
  • AI

Quick answers

  • What are the qualifications?

    Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field (or equivalent experience).

  • What skills are required?

    Machine Learning, Cross-functional, Computer Science, Data Science, Performance, Forecasting, Innovation, Healthcare, Snowflake, Analytics, and more.

Sanofi is hiring for this role. Visit career page

Budapest, Hungary

Job title: Data Scientist

Location: Budapest, Váci Greens

Hybrid working

 

About the job

As Data Scientist within our Data & Analytics team, you'll harness the power of AI, machine learning, and advanced analytics to drive smarter financial forecasting and business performance decisions across Sanofi. Ready to get started?

Join the digital engine driving Sanofi's transformation — where AI, automation, and bold experimentation power faster science and smarter decisions. In our Data & Analytics team, you'll partner with corporate functions like Finance and Procurement to turn complex data into meaningful insights, helping build the first biopharma company powered by AI at scale.

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.

Join an Award-Winning Team at Sanofi Budapest Hub!

Be part of something exceptional. Our Budapest Hub has been recognized for workplace excellence, innovation, and our commitment to putting people first. See the full list of our awards at the end of this posting.

Main responsibilities

  • Design and develop advanced statistical models, machine learning algorithms, and predictive analytics solutions to address complex financial forecasting and business performance challenges.
  • Build, validate, and optimize AI/ML models for Finance and Procurement analytics, ensuring high accuracy, reliability, and bias mitigation.
  • Manage and process large-scale data pipelines — including data migration and transformation in Snowflake — while implementing complex business rules across enterprise systems such as SAP and Python.
  • Partner with cross-functional Corporate teams (Finance, Procurement, Demand to Cash) to translate business questions into analytical frameworks and deliver actionable insights.
  • Collaborate with the Data Visualization team to develop dashboards and reports in Power BI that communicate complex findings clearly to both technical and non-technical audiences.
  • Stay current with emerging technologies and best practices in data science, and share expertise to strengthen analytical capabilities across the organization.

About you

  • Proven experience in data science, with a strong focus on statistical modeling and AI/ML use cases — ideally applied to Finance or Procurement domains.
  • Advanced proficiency in Python for statistical analysis and machine learning, combined with strong SQL skills and hands-on experience with Snowflake (including Cortex).
  • Solid foundation in statistical methods, predictive modeling, time series analysis, and causal inference; experience with NLP for corporate domains is a plus.
  • Collaborative mindset with the ability to translate complex analytical findings into clear, actionable business insights for diverse audiences.
  • Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field (or equivalent experience).
  • Fluency in English is essential to operate effectively in a multicultural, global environment.

Why choose us?

  • Opportunity to contribute to a company that is a leader in healthcare and pioneer in digital transformation
  • Endless opportunities to grow your talent and drive your career, locally or internationally
  • Comprehensive rewards package that recognizes your contribution
  • Extensive health and wellbeing benefits including high-quality healthcare and wellness programs

Office of the Year 2025 – Evolution Award
Our most recent award – Sanofi is recognized for creating an innovative workspace that supports collaboration and adaptability.

Marketing Diamond Award 2026 – Employer Branding
One of the highest honours at Hungary's prestigious Marketing Diamond Awards, recognizing excellence in employer branding.

BSC Investor of the Year 2025
Awarded by HIPA, ABSL Hungary, and AmCham Hungary for our contribution to Hungary's business services sector.

PwC Workforce Preference Survey 2025 – Top 3 Most Attractive Employers
Ranked 3rd among the most attractive employers in Hungary.

Hungarian Employer Branding Awards 2025 – Gold & Silver
Best Strategic Employer Branding Campaign (Gold) and Best Employer Branding Campaign in the Pharma Sector (Silver).

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Job details

Workplace

Office

Location

Budapest, Hungary

Job type

Full Time

Experience

Senior

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Website

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Twitter

@sanofi

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