Junior Data Scientist

InPost Group

Junior Data Scientist in the Forecasting Domain predicts parcel volumes with the InPost Group. Collaboration with experienced data scientists and growth opportunities in data analysis.

Posted 6/17/2026contractRemote • 🇵🇱 PolandJuniorWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Run end-to-end forecasting analyses on real business problems
Build and evaluate time series and machine learning forecasting models
Write clean, well-structured code and take part in code reviews
Take ownership of your tasks: estimate your work, communicate progress, and flag issues early to deliver on time
Support the full lifecycle of our forecasting products
Keep learning - deepening your technical foundations and forecasting expertise

Requirements

What you’ll need

Higher education in progress or completed (Bachelor’s or Master’s) in computer science, statistics, mathematics, physics, econometrics or a related field
Around a year of first commercial/internship experience in data analysis or data science - or an equally strong record of documented academic, research or competition participation
Good knowledge of Python for data workflows (Pandas, NumPy, Scikit-learn)
Practical SQL skills for querying relational databases
Solid grounding in data cleaning, wrangling and exploratory data analysis (EDA)
Good understanding of basic statistics
Familiarity with core ML methodologies (regression, classification)
Ability to visualize and communicate insights clearly (e.g. Matplotlib, Plotly)
English at B2 level or higher
Proficiency in the use of LLM-Agentic technology in software development: Claude Code, Cursor, OpenAI Codex, etc.

Benefits

Comp & perks

Access to e-learning platforms- eTutor
GoodHabitz
Data Camp
Wide range of benefits, including the MultiSport+ card
Private healthcare
Group insurance
External and internal growth opportunities - conferences
Trainings
Workshops
Chances to broaden your skill set and acquire new competencies through daily work
Challenging projects
Training activities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPandasNumPyScikit-learnSQLdata cleaningdata wranglingexploratory data analysisstatisticsmachine learning

Soft Skills

communicationownershipproblem-solvingtime managementprogress tracking