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  • All offersGdańskDataSenior Data Scientist/Machine Learning Engineer
    Senior Data Scientist/Machine Learning Engineer
    Volue Sp. z o.o.

    Senior Data Scientist/Machine Learning Engineer

    Volue Sp. z o.o.
    Type of work
    Employment Type
    Permanent, B2B
    Operating mode

    Tech stack

      Machine Learning




      Google Cloud Platform




      Apache Airflow


    Job description

    Online interview
    Friendly offer

    Volue is a market leader in technologies and services that power the green transition. Around 800 employees work with more than 2 200 customers on energy, power grid, water & infrastructure projects.

    Our mission is to provide innovative services critical to society, unlocking a cleaner, better and more profitable future. Working towards this goal, Volue has become a leading technology supplier and enabler of the green transition, helping energy companies simplify and optimize everyday operations.

    We are now looking for a Senior Data Scientist / Machine Learning Engineer to help us improve our ability to provide value to our customers in line with the Volue mission.

    In Volue Insight we enable our customers to make data driven decisions – spanning from creating pricing models for their energy products, when to buy energy, to invest in renewable power plants or power-consuming industry. We provide forecasts for the very near term up to decades ahead. The Fuels team in Volue Insight builds and maintains models and data in the fuels domain, to enable forecasts for price, demands and flows.

    What you will be doing to make a difference:

    • Design, develop and maintain forecasting and prediction models.
    • Build and maintain flexible and scalable end-to-end data pipelines.
    • Together with product management, incorporate the results of our models into convincing products for our customers.
    • Contribute to our continuous push towards highly scalable and automated forecasting models where performance is monitored, quality is continuously evaluated, and experimentation is easy.

    What you need to succeed:

    • Degree in Data Science, Applied Mathematics, Artificial Intelligence, Computer Science or equivalent
    • Data Science / Machine Learning expertise
    • Software development skills in Python (min. 2 years) + one another programming language
    • Experience in developing and maintaining software, data and models in modern production environments (including automated test, peer code review, continuous integration)
    • Fluency in English
    • Disposition to work from Volue Gdańsk office at least twice per week

    A bonus if you are also familiar with: 

    • Energy markets analysis
    • Time series forecasting and analysis expertise

    Reasons to join Volue team and what we offer:

    • Large degree of influence in shaping & developing the role further
    • Great colleagues in one of Europe’s most exciting green tech companies with innovative and international work environment
    • Flexible working hours & competitive compensation package

    In Volue, we cherish each employee’s competence, ideas and personality. Let your skills and talent be a part of our team – and let us leave our mark on the world together!

    Company Culture

    In Volue, we believe that in order to be a successful company, we need to bring everyone to the table.

    We look at diversity as a competitive advantage. A diverse workforce enables better decision-making and creates more value. By inclusion, we refer to the sense of belonging and being part of a community at work. We want the people of Volue to feel welcome, valued and not least encouraged to bring their whole, unique selves to work.

    Volue is about people. From staff to client, people are at the center of all our operations, and we always strive for a flat structure where everyone feels included, appreciated and recognized for their individual efforts. Or as we call it "ONE Volue". We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, cultural background or religious beliefs.