Junior Data Scientist (f/m/d)

Axpo Group; Województwo mazowieckie; Hybrid; PLN 60,000 - 90,000; Full time

Benefits offered by this job

Full‑time contract

International company shaping energy

Medical care package

Multisport card co‑financing

Language classes

Hybrid work mode

Office in city center

Job summary

Axpo Polska is looking for a Junior Data Scientist to turn complex energy and trading questions into robust analyses, models and data products. You’ll work across functions to strengthen decision‑making through high‑quality data science and clear communication of insights.

You will build and evaluate models, ensure data quality, and collaborate with stakeholders to deliver practical analytical solutions in a hybrid, international company.

Qualifications

• A bachelor’s degree in data science, mathematics, IT, economics, finance, energy or a related field.
• At least one year of experience in data science or a similar analytical role.
• Strong SQL skills, including practical knowledge of query optimisation.
• Practical Python skills and a sound understanding of data science and machine‑learning concepts, such as model evaluation, clustering and common model types.
• Analytical approach, strong critical‑thinking skills and confidence working through complex, ambiguous problems.
• A proactive, self‑sufficient and entrepreneurial approach, with a can‑do attitude and the ability to work well with multiple stakeholders.
• Good spoken and written English. Polish is relevant for the local business context; knowledge of the Polish energy and gas industry is an advantage.

Responsibilities

• Develop, maintain and improve predictive machine-learning models, including time‑series, regression and classification models.
• Translate commercial and trading questions into analyses, models and practical data products.
• Work with large-scale data and use tools such as SQL, Python, GCP and Snowflake to deliver reliable analytical solutions.
• Explore and visualise results, including with Power BI, and explain findings to technical and business stakeholders.
• Check data quality, validate analytical outputs and critically review code and model results.
• Document your work clearly so that analyses and models can be understood, maintained and handed over effectively.
• Contribute to improving processes, performance and efficiency across the business.

Skills

Analytical thinking

Critical thinking

Problem solving

Communication

Education

Bachelor's degree in data-related field

Tools

SQL

Python

Snowflake

GCP

Power BI

Job description

Turn complex energy questions into clear, data-driven decisions

Are you analytical, curious and motivated by solving challenging problems? Join Axpo Polska as a Junior Data Scientist and help turn commercial and trading questions from the Polish energy and gas business into robust analyses, models and data products.

You’ll work with colleagues across the business to strengthen decision‑making through high-quality data science. You bring critical thinking, a constructive, questioning mindset and the determination to work through complex issues—not just produce numbers, but understand what they mean and communicate the insight clearly.

What You’ll Do

• Develop, maintain and improve predictive machine-learning models, including time‑series, regression and classification models.


• Translate commercial and trading questions into analyses, models and practical data products.


• Work with large-scale data and use tools such as SQL, Python, GCP and Snowflake to deliver reliable analytical solutions.


• Explore and visualise results, including with Power BI, and explain findings to technical and business stakeholders.


• Check data quality, validate analytical outputs and critically review code and model results.


• Document your work clearly so that analyses and models can be understood, maintained and handed over effectively.


• Contribute to improving processes, performance and efficiency across the business.

What You’ll Bring

• A bachelor’s degree in data science, mathematics, IT, economics, finance, energy or a related field.


• At least one year of experience in data science or a similar analytical role.


• Strong SQL skills, including practical knowledge of query optimisation.


• Practical Python skills and a sound understanding of data science and machine‑learning concepts, such as model evaluation, clustering and common model types.


• An analytical approach, strong critical‑thinking skills and confidence working through complex, ambiguous problems.


• A challenging mindset: you question assumptions, investigate root causes and look for better ways to solve problems.


• A proactive, self‑sufficient and entrepreneurial approach, with a can‑do attitude and the ability to work well with multiple stakeholders.


• Good spoken and written English. Polish is relevant for the local business context; knowledge of the Polish energy and gas industry is an advantage.

What We Offer

• Full‑time employment contract.


• Development in an international company that is shaping the face of the energy market.


• A progressive medical care package that takes care of your health and well‑being.


• Co‑financing of the Multisport card, enabling the use of various forms of physical activity.


• Foreign language classes during working hours.


• Flexible working hours and the possibility to work in hybrid mode.


• An office with a beautiful view, located in the city center.


• A motivated team, ready to guide you through your daily challenges.

Details about the salary range for this position and other components of the compensation package will be provided in the following stages of the recruitment process.

At Axpo Group, we are dedicated to fostering a culture of non-discrimination, tolerance, and inclusion. As an equal opportunity employer, we welcome applications regardless of race and ethnicity, gender identity and expression, sexual orientation, age, disability, as well as socioeconomic, cultural, and religious background. We are committed to ensuring a respectful and inclusive recruiting process and workplace for everyone.