Data Scientist/Engineer Intern-  EU Gas Trading

Location: London

Duration: 6 months, full time

Start: As soon as possible

Why Statkraft?  

Statkraft has been making clean energy possible for over a century. That’s what we offer. 125 years of unrivalled expertise in supplying the world with what it needs most. We envision a world that runs entirely on renewable energy. Because in the fight against climate change, we don’t see renewable energy as part of the solution – we believe it must be the solution. With us, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match.  

But there’s more work to be done – that’s why we need you to join us.  

Working in Proprietary Trading

The Proprietary Trading department at Statkraft is known for its innovative and data-driven approach, and our team members are expected to have strong analytical and problem-solving skills, as well as a passion for renewable energy. Collaboration is a key part of the culture in Trading and employees work closely with other teams within the company. Working in Proprietary trading at Statkraft offers opportunity to be part of a dynamic and growing company that is at the forefront of the energy transition, while gaining valuable experience in the fast-paced and exciting world of energy trading.

We are seeking a highly motivated Data Science Intern to join our team. The ideal candidate will have a strong background in Python programming and full-stack data capabilities. You will be involved in enhancing our trading analytics by drilling into new data sources, building APIs, and developing visualizations that aid traders in their daily workflow.

Key Responsibilities:

• Optimize data pipelines and integrate new data sources. Responsible for data ingestion from source to analytics, including data transformations and normalization.
• Maintain existing APIs, and provide input on new APIs for efficient data management.
• Maintain, modify, and create data visualisations on both existing and new datasets to support analytics used by traders.
• Work closely with analysts and traders to understand their data needs and translate these requirements into functional projects.
• Maintain clear and well-documented code to support team understanding and project continuity.

• Currently pursuing or having recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Strong skills in Python, with excellent knowledge of Pandas and other data science frameworks.
• Experience working with version control (git) and CI/CD workflows.
• Knowledge in common database technologies and experience using SQL and working with relational databases.
• Experience with visualization / front-end tools such as Plotly Dash and python backends such as Flask.
• Must have personal projects or coursework that demonstrate experience in a complex codebase focusing on scraping and processing data, building APIs, and visualizing outcomes.
• Strong analytical and problem-solving skills with the ability to translate complex requirements into actionable projects.

Nice to Have:

• A foundational understanding of statistics.
• Knowledge related to Trading and/or Energy Markets.

What we offer

A career with Statkraft is a career filled with purpose – meaning that every employee is not just making a living, they are making a real difference to the planet, our communities and the future. Together, we work on the front lines of changing the game for renewable energy. From hydrogen development to algorithmic trading and everything in between. We have 125 years of unrivalled expertise in creating the technologies that put ecosystems, communities and our environment first.

Statkraft offers competitive terms of employment and benefits schemes, and we’re a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance. 

Statkraft manages critical infrastructure and services in several countries. The applicant must be eligible for security clearance and authorisation.