(Senior) Data Scientist - Operations (m/f/n)

Company: InPost

Role summary

(Senior) Data Scientist - Operations (m/f/n) is a role at InPost in Krakow, Lesser Poland Voivodeship, Poland (on-site). Posted 2026-08-24. Experience level: 2-5.

Job title
(Senior) Data Scientist - Operations (m/f/n)
Company
InPost
Location
Krakow, Lesser Poland Voivodeship, Poland
Work arrangement
on-site
Category
Data Science
Experience level
2-5
Date posted
2026-08-24

InPost is looking for a data-driven expert to help optimize their massive logistics network, offering a chance to make a real-world impact on how packages move across Europe. You’ll be working in a fast-paced environment where your technical insights directly shape operational efficiency, making it a perfect fit for someone who loves solving complex, large-scale puzzles.

Job description

Company 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

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

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