Markdown and Pricing Optimization Data Scientist

Your key responsibilities will be: 

• Build machine learning models supporting markdown optimization, demand forecasting, sell-through prediction, and inventory liquidation.
• Develop pricing and promotion recommendation algorithms based on historical sales, inventory, customer behavior, and commercial data.
• Estimate and monitor key commercial drivers such as price elasticity, promotional effectiveness, and markdown impact.
• Design, develop, and maintain analytical datasets supporting markdown and pricing optimization initiatives.
• Contribute to the development and enhancement of the company's data lake, data pipelines, and data quality standards.
• Conduct advanced statistical analyses.
• Translate analytical findings into business recommendations supporting Pricing, Planning, and Commercial teams.
• Develop simulation and scenario-planning capabilities to support strategic decision making.
• Support the design, development, testing, and deployment of markdown optimization tools and recommendation engines.
• Monitor model performance and continuously improve prediction accuracy and business impact.
• Participate in automation and digitalization initiatives related to pricing and promotional decision-making processes.
• Collaborate with Planning, Pricing, Buying, Commercial, and Technology teams to identify optimization opportunities.
• Communicate complex analytical concepts and model outputs to non-technical stakeholders.
• Support change management and adoption of data-driven decision-making practices.

Skills and experience we are looking for:

• 2–4 years of experience in Data Science, Machine Learning, Advanced Analytics, or Quantitative Modeling (experience in retail, e-commerce, pricing, revenue management, merchandising, supply chain, or commercial analytics is preferred).
• Experience developing predictive models using large datasets.
• Experience working with SQL and Python in a production or business environment.
• Master’s degree in a quantitative field (e.g. Data Science, Statistics, Mathematics, Econometrics, Computer Science, Operations Research, Engineering or Economics).
• English proficiency at minimum B2 level (C1 preferred).
• Advanced Python programming skills and strong SQL knowledge.
• Strong knowledge of statistics, predictive modeling, and machine learning techniques.
• Experience with machine learning libraries (Scikit-learn, XGBoost, TensorFlow, PyTorch or equivalent).
• Experience working with large and complex datasets and understanding of data modeling, data pipelines, and data lake concepts.
• Experience with cloud platforms (preferably Azure) and data visualization.
• Knowledge of MLOps principles and model deployment practices.
• Knowledge of optimization techniques, forecasting, and recommendation systems.
• Strong analytical, problem-solving, presentation and comumunication skills.
• Ability to explain complex analytical concepts to non-technical audiences

You are bound to like your job at Pepco because we guarantee:

• Work in an international company featured on the Forbes list of the best employers in Poland and beloved by millions of consumers in Poland and Europe.
• A competitive salary and real opportunities for promotion - the development of our employees is the cornerstone of our strategy!
• Life insurance on preferential terms, to feel secure.
• An extensive benefits platform offering a wide range of options – including medical care, sports cards, events, trips, shopping vouchers, and more.
• Discounts on purchases at Pepco stores – get your favorite products at even better prices!
• A wide range of training sessions, courses, and webinars designed to help our employees grow and thrive!
• The opportunity to improve language skills by working in an international environment.
• Free psychological, legal, and financial consultations as part of our employee support program – our employees' well-being is our top priority!
• Smart Lunch – meal subsidies for the company canteen, giving access to daily on-site dishes at discounted prices.
• Financial recognition in the form of jubilee awards, additional days off, and loyalty-based discounts for employees celebrating their work anniversaries.
• A social fund providing additional financial support to ensure security and assistance in various life situations.
• A friendly atmosphere and support from colleagues who are eager to share their expert knowledge – despite being a large organization, we’ve maintained a warm, informal atmosphere.
• A role within a unique organizational culture – Pepcoolture – where our mission, vision, and values are the foundation of our everyday work.