(Senior) Data Scientist - Operations (m/f/n)
InPost UK
| Company | InPost UK |
| Category | Data & Analytics |
| Location | Kraków |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 3 Jun 2026 |
| Last verified | 8 Aug 2026 |
| Source | Employer ATS (smartrecruiters) |
Description
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe , as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.
You’ll join our Operations Data Science Team , solving some of the most complex and impactful logistics problems at scale. Your models won’t sit in notebooks - they will move millions of parcels every day!
Tech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses
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