About this role
Your work will include:
Designing routing and allocation algorithms for parcel delivery Solving large-scale optimization problems (vehicles, routes, constraints, costs) Applying graph-based methods, clustering, regression and forecasting Building models that directly impact delivery speed, cost efficiency and customer experience Shipping solutions into production - not just experiments What we’re looking for:
We don’t expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems.
Must have:
~3+ years in Data Science / ML roles Strong Python skills and experience with data/ML libraries Experience working with large-scale datasets Solid understanding of ML methods (regression, clustering, forecasting, etc.) Ability to translate business problems into data solutions You’ll stand out if you:
Have worked on optimization problems (routing, scheduling, operations research) Know graph-based approaches or network problems Have built models that are used in production at scale Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake) Have experience with ML Ops / CI/CD pipelines Are familiar with optimization techniques (linear programming, heuristics) Are familiar with Kedro or similar frameworks Why join InPost?
Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.Fulfilling careers with a range of benefits and investing in providing training opportunities for people development.You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.Excellent working environment and flexible hoursWe offer B2B type of contract