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 hours
- We offer B2B type of contract