Key skills
NumpyPandasPythonScikit-LearnSQLMachine LearningMLLLMOpenAIClaudeAgenticscikit-learnNumPy
About this role
Role Overview
- 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.
Tech Stack
- Numpy
- Pandas
- Python
- Scikit-Learn
- SQL
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