Group Data Scientist (Pricing & Advanced Analytics)

Dr. Max is the leading pharmacy chain in Central Europe. In every country where we are active, Dr. Max is dedicated to improving the level of health care available by guaranteeing access to a broad assortment of medicines and pharmacy services. Our pharmacies are currently present in 6 countries (Czech Republic, Slovakia, Poland, Romania, Serbia, Italy) with great expansion plans across Europe for the near future. The group level headquarters Dr. Max BDC is expanding the ML Data team, so we are looking for a Machine Learning Engineer / Data Scientist to join us. If you are looking for an opportunity to implement your knowledge and experience in organization where you can have an impact and truly make a difference, this is the right opportunity for you!

Address: Na Florenci 2116/15
Required education: University Degree
Required languages: English (advanced), Czech or Slovak is highly beneficial
Employment form: Full-time work

What will be your responsibilities?

• Analyze pricing, commercial, and operational data to identify opportunities and translate them into ML solutions with measurable business impact.
• Build and improve pricing models to optimize revenue across thousands of SKUs, working within a genuinely complex, production-grade ML system, alongside other ML use cases across the business (e.g. forecasting, assortment, operations).
• Collaborate closely with the ML engineering team on shared, complex model components, while also owning and driving your own projects end-to-end when the work calls for it.
• Collaborate with engineers, product managers, and business stakeholders to deploy scalable ML systems into production.
• Enhance the existing pricing engine and help scope, build, and launch new ML initiatives from scratch, using AI tools (e.g. LLM copilots, agentic workflows) to accelerate development and analysis.
• Work with modern data stack: Azure, Databricks, PySpark, plus AI/LLM tooling to speed up experimentation and delivery.
• Turn analysis into clear, business-facing recommendations. Present solutions and explain complex concepts to non-technical and senior stakeholders.
• Participate in design and code reviews, promoting high-standard AI/ML modelling and engineering practices.

Our Stack and Methods

• Optimization: nonlinear convex programming, MILP via HiGHS, Numba accelerated Python for performance critical routines.
• ML modelling: gradient boosted trees (CatBoost, LightGBM), causal inference with Double Machine Learning, SHAP for model interpretation, TabICLv2
• None of the above is a strict requirement. Solved similar problems with different tools? We're just as interested in your approach.

What do we expect from you?

• Min. 3+ years of experience in Data Science, Analytics, or Machine Learning Engineering.
• Strong skills in Python, PySpark, SQL and cloud-based environments (preferably Azure).
• Comfortable working with complex, interdependent ML systems, both as part of a team and as the sole owner of a project.
• Strong analytical and business mindset, able to turn data into clear recommendations for non-technical stakeholders.
• Experience with analytics, business intelligence, pricing, forecasting, or optimization models is a plus. Exposure to other ML use cases across a business is welcome.
• Comfortable using AI tools (LLMs, coding assistants, agentic workflows) to speed up analysis, prototyping, and delivery.
• Fluent in English; Czech/Slovak is a plus.
• Being based in Prague already.

What do we offer?

• Working for the largest pharma retail company in CEE with great expansion plans
• A company with a meaningful purpose, an outstanding customer value proposition within an industry offering a resilient, non-cyclical growth pattern
• Global-level job within group headquarters with a group-wide impact
• Space for professional growth within a growing organization
• Attractive financial compensation (salary and yearly bonuses)
• Flexible working hours, possibility of 1 day home office/week
• 5 weeks of holidays, discounts in Dr. Max pharmacies, meal vouchers, fully paid Multisport card, public transport contribution, referral bonus etc.

If you are interested in this opportunity, please send your CV to [email protected]