About the role
Job Description
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
Qualifications
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
Additional Information
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 hours * We offer B2B type of contract