At a Glance
- Tasks: Design and develop predictive analytics and machine learning models to drive business growth.
- Company: Join Fresenius Medical Care, a global leader in kidney care with a compassionate mission.
- Benefits: Enjoy career development opportunities, innovative culture, and the chance to impact healthcare worldwide.
- Other info: Collaborate with diverse teams in a dynamic environment focused on innovation and excellence.
- Why this job: Make a real difference by transforming data into actionable insights for better patient outcomes.
- Qualifications: 5+ years in data science with strong skills in Python, R, SQL, and analytics.
The predicted salary is between 63000 - 77000 £ per year.
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.
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.
Your Responsibilities:
- 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
Your Profile:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Business Administration, or a related quantitative field
- 5+ years of experience in data science, predictive analytics, machine learning, statistical modeling, or related analytical roles, ideally within MedTech, healthcare, life sciences, high‑tech manufacturing, or other complex commercial environments
- Demonstrated success in developing predictive models that deliver measurable commercial outcomes and business value
- Strong experience working with complex datasets from CRM, ERP, finance, pricing, and commercial systems, applying advanced analytical and machine learning techniques to solve business challenges
- Experience in pricing analytics, forecasting, optimization, profitability analysis, and commercial decision support is highly desirable
- Proven ability to communicate complex analytical concepts and model results to both technical and non‑technical stakeholders, driving data‑informed decision‑making
- Proficient in Python, R, SQL, and data analytics environments, with experience using BI and visualization tools such as Power BI or similar platforms
- Knowledge of data governance, data security, and compliance requirements, with experience developing scalable analytical solutions in complex data environments
- Fluent in English, both written and spoken; additional languages are considered an advantage
Our Offer For You:
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.
Senior Data Scientist, Predictive Analytics & Modeling employer: Fresenius Medical Care
Fresenius Medical Care in Cornholme offers a supportive and collaborative work environment where employees are valued for their contributions to patient care. With a strong focus on professional development, the company provides ongoing training and growth opportunities, ensuring that team members can advance their careers while making a meaningful impact in the lives of patients. The commitment to maintaining high standards of care and hygiene creates a rewarding atmosphere for those passionate about healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Predictive Analytics & Modeling
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fresenius Medical Care!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist, Predictive Analytics & Modeling at Fresenius Medical Care.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fresenius Medical Care.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist, Predictive Analytics & Modeling at Fresenius Medical Care, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist, Predictive Analytics & Modeling
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fresenius Medical Care, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fresenius Medical Care. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fresenius Medical Care
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fresenius Medical Care!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
