Junior Data Scientist (fmn)

Youll join the Forecasting Domain within our Data & AI division as a Junior Data Scientist.

Our team predicts parcel volumes and operational demand across multiple European markets - forecasts that drive planning capacity and decisions all the way up to C-level. This is a role built for someone at the start of their career: youll learn directly from experienced data scientists contribute to real forecasting models from day one and grow along a clear path from Junior toward Senior and beyond. We care more about how you think than how many years youve worked. 

Tech stack: Python (Pandas NumPy Scikit-learn) SQL & data warehouses PySpark & distributed processing Databricks Cloud platforms (Azure / GCP / AWS). 

Working under the guidance of senior team members you will: 

• Run end-to-end forecasting analyses on real business problems - from data preparation and feature engineering through to modelling and turning results into clear actionable recommendations 
• Build and evaluate time series and machine learning forecasting models validating them through rigorous testing and iterative improvement 
• Write clean well-structured code and take part in code reviews to keep our standards high and share knowledge 
• 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 helping maintain models in production and contributing to handovers 
• Keep learning - deepening your technical foundations and forecasting expertise through on-the-job work and close collaboration with the team 

Youll work day-to-day with data scientists product leads ML engineers data engineers and business stakeholders so clear communication matters as much as clean code. 

Qualifications :

We dont expect you to tick every box. Were looking for a sharp analytical mind genuine curiosity and a strong quantitative foundation - the commercial experience is something youll build with us. 

Required: 

• Higher education in progress or completed (Bachelors or Masters) 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) and a good understanding of basic statistics 
• Familiarity with core ML methodologies (regression classification) including evaluation metrics and cross-validation 
• Ability to visualise and communicate insights clearly (e.g. Matplotlib Plotly) with focus on storytelling and clarity 
• English at B2 level or higher 
• Proficiency in the use of LLM-Agentic technology in software development: Claude Code Cursor OpenAI Codex etc. 

Youll stand out if you have: 

• A strong track record in data science / ML competitions (Kaggle and similar) olympiads or hackathons 
• Documented academic or personal projects in data analysis or machine learning a thesis research publications or a solid github portfolio 
• Exposure to time series or forecasting methods (e.g. ARIMA / classical statistical models gradient boosting or modern forecasting approaches) 
• Familiarity with PySpark or other big-data tools 
• A basic understanding of cloud platforms (e.g. AWS GCP Azure) and simple data pipelines (Airflow dbt) 
• Experience building dashboards and reports (Streamlit Dash Power BI) 
• Exposure to containerisation and experiment tracking (Docker MLflow) 
• Reproducible-workflow habits: notebooks Git clean code and clear documentation 

Were looking for someone who is results-oriented independent analytical and quality-minded who plans their work well and enjoys working as part of a team.

Additional Information :

• Remote role across Poland.
• Access to e-learning platforms- eTutor GoodHabitz Data Camp and more.
• A wide range of benefits including the MultiSport card private healthcare and group insurance is available on the Worksmile platform.
• External and internal growth opportunities - conferences trainings workshops. 
• Chances to broaden your skill set and acquire new competencies through daily work challenging projects and training activities.
• B2B type of contract

Remote Work :

Yes

Employment Type :

Contract