InPost Group
10,000+ employees
🛍️ eCommerce
🚗 Transport
eCommerce • Transport • Logistics
InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.
Junior Data Scientist
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🕒 Yesterday
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InPost Group
10,000+ employees
🛍️ eCommerce
🚗 Transport
eCommerce • Transport • Logistics
InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.
📋 Description
• 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
• 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
• 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
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