Paid Data Science Modeling Intern — Hybrid

Huntsman; Polska; Hybrid; PLN 34,000 - 48,000; Full time

Benefits offered by this job

Hybrid work policy

Mentorship and career development

Office in city center

Job summary

Huntsman invites motivated students to join a paid internship in Poland, working within a new Hub in the city center. The role focuses on data preparation, documentation, modeling, forecasting and presenting results to stakeholders.

You will work 20–40 hours per week with hybrid office/remote flexibility, under a Civil Contract for 6 months, with mentors and potential for future full-time opportunities.

Qualifications

• Pursuing or recently completed studies in a quantitative field such as Data Science, Statistics, Physics or Economics.
• Solid foundations in statistics, probability theory and ML fundamentals.
• Practical exposure to Python.
• Strong quantitative mindset and ability to model complex problems.
• Clear written and verbal communication in English.

Responsibilities

• Support data preparation and analysis.
• Contribute to documentation and process mapping.
• Support ideation, development and evaluation of statistical and ML models.
• Contribute to forecasting and decision-optimization activities.
• Present results to technical and non-technical stakeholders.
• Write clean, version-controlled code and documentation in a collaborative environment.

Skills

Statistics

Machine learning

Python

Quantitative mindset

Communication

Attention to detail

Team collaboration

English proficiency

Education

Data Science

Statistics

Physics

Economics

Tools

Python (programming language)

Job description

Huntsman invites motivated students to join a paid internship in Poland, working within a new Hub in the city center. The role focuses on data preparation, documentation, modeling, forecasting and presenting results to stakeholders.

You will work 20–40 hours per week with hybrid office/remote flexibility, under a Civil Contract for 6 months, with mentors and potential for future full-time opportunities.