Senior Data Scientist, Predictive Analytics & Modeling

There is a lot you can discover at Fresenius Medical Care, regardless in which field you are an expert and how much experience you have - all dedicated to your professional journey.

• Whether in front of or behind the scenes - you are helping to make ever better medicine available to more and more people around the world
• Individual opportunities for self-determined career planning and professional development
• A corporate culture in which there is enough room for innovative thinking - to find the best solution together, not the quickest one
• A large number of committed people with a wide range of skills, talents and experience
• The benefits of a successful global corporation with the collegial culture of a medium-sized company

At Fresenius Medical Care, we are the global leader in kidney care, committed to improving the lives of patients with chronic kidney disease. Our mission is to deliver high-quality, innovative products, services, and care across the entire healthcare journey. Guided by our vision - "Creating a future worth living. For patients. Worldwide. Every day."-we work with purpose and compassion, supported by a global team of over 110,000 employees.

Within our Care Enablement segment, we develop and provide life-sustaining medical products, digital health solutions, and therapies that empower clinical teams and improve patient outcomes. Our FME Reignite strategy drives transformation through innovation, efficiency, and sustainable growth.

Our values guide how we work:

• We Care for our patients, each other, and our communities
• We Connect across teams and borders to deliver excellence together
• We Commit to doing things the right way- growing with purpose and leading kidney care with integrity and innovation

As a Center of Excellence, Commercial Business Services (CBS) drives commercial excellence across Care Enablement. The team delivers market insights, health economics expertise, brand management, and validated marketing and sales strategies. CBS leads the development of commercial tools, processes, and training to support market access, strategic product positioning, and enhance the global customer experience. Join our passionate team and help shape healthcare worldwide!

Goal of function: As the Senior Data Scientist, Predictive Analytics & Modeling you design, develop and scale advanced predictive analytics and machine learning models that support commercial decision-making and drive business growth. By transforming complex commercial, pricing, financial, and customer data into actionable insights, the role enables pricing optimization, tender success, forecasting accuracy, opportunity identification, and sales effectiveness. Working closely with cross-functional stakeholders, the Senior Data Scientist ensures analytical solutions are embedded into business processes, continuously improved, and deliver measurable commercial impact through data-driven decision-making.

• Develop predictive analytics and machine learning solutions using CRM, ERP, finance, pricing, and commercial data to address complex business challenges
• Build, validate, and optimize models for forecasting, pricing, customer behavior analysis, opportunity identification, and strategic decision-making
• Lead the full model lifecycle, including problem definition, data preparation, feature engineering, validation, deployment, monitoring, and continuous improvement
• Ensure analytical solutions are accurate, scalable, interpretable, and aligned with responsible data practices
• Develop pricing, profitability, and tender analytics models, including price elasticity, discount optimization, profitability simulations, and win/loss analysis
• Identify commercial growth opportunities through dynamic pricing, cross-/upsell propensity modeling, and analysis of customer, product, market, and sales behaviors
• Evaluate tender data and requirements to identify trends, risks, pricing opportunities, and bid improvement areas
• Partner with Commercial, Marketing, Finance, IT, and other stakeholders to embed analytics into business processes and decision-making
• Translate business needs into actionable analytical solutions and support the standardization and automation of analytics capabilities