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