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Role Focus:

  • Join the Forecasting Domain within the Data & AI division to predict parcel volumes across European markets.
  • Learn directly from senior data scientists and contribute to real forecasting models from day one.
  • Grow along a clear career path from Junior toward Senior.

Tech Stack:

  • Work with Python (Pandas, NumPy, Scikit-learn), SQL, PySpark, Databricks, and cloud platforms (Azure/GCP/AWS).
  • Build and maintain forecasting products using rigorous testing and iterative improvement.
  • Use LLM-agentic tools like Claude Code and Cursor in development workflows.

Qualifications:

  • Higher education in computer science, statistics, or a related quantitative field.
  • Around one year of commercial or internship experience in data analysis or data science.
  • Strong Python and SQL skills, solid grounding in statistics and ML methodologies.
  • Proficiency in LLM-agentic technology is a plus.

Benefits:

  • Access to e-learning platforms including eTutor, GoodHabitz, and Data Camp.
  • Benefits package via Worksmile platform: MultiSport+ card, private healthcare, group insurance.
  • External and internal growth opportunities: conferences, trainings, workshops.

InPost Group

InPost Group is an innovative European out of home deliveries company revolutionizing parcel delivery through intelligent lockers. It is a publicly traded company with a market capitalization of about $5 billion and over 10,000 employees worldwide, committed to sustainable and efficient delivery solutions.

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