Intern- Data Analytics, Oil Trading at Statkraft

City of London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Pandas, OOP, Data Scraping, Data Cleaning, Data Structuring, Dashboarding, Data Visualization, AI Tools, Agent Frameworks, Automation, Analytical Skills, Problem-Solving, Data Pipelines, LLM Tools

Industry

Electric Power Generation

Description

Company Description Intern- AI & Data Analytics , Prop Oil Trading Location: London Duration: 12 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 Statkraft trades energy products in more than 20 countries and is active on 13 energy exchanges. Proprietary trading takes place mainly from trading rooms in Oslo, Düsseldorf, London and the Unites States. Statkraft trades power, natural gas, carbon certificates, dry bulk products, metals, oil and petroleum products in the global markets. 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. Job Description We are seeking a highly motivated Intern to join our oil trading desk and support fundamental analysis through modern data and AI workflows. This role is ideal for a recent graduate with ability to work with data and hands‑on experience applying AI tools to real projects. This is an exciting opportunity to work closely with Head of Oil Trading and learn more about financial energy commodities. Key Responsibilities: Build and maintain dashboards, data pipelines, and visualisation tools to support daily trading workflows. Scrape, clean, and structure large datasets from multiple sources for fundamental analysis. Utilize our tools and infrastructure to integrate new data sources. Responsible for storing and transforming data into formats suitable for analysis. Use AI tools ( agent frameworks, automation tools) to summarise, filter, and analyse data more efficiently. Develop scripts in Python and SQL to accelerate analysis. Experiment with new AI capabilities and propose ways to apply them to trading‑desk problems. Support traders with rapid data exploration, pattern detection, and insight generation. Work closely with 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. Qualifications Currently pursuing or having recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Strong skills in Python, with excellent knowledge of Pandas and Object-Oriented Programming (OOP) principles. Proven ability in using SQL and working with relational databases. Experience with dashboarding tools such as Dash, Power BI, or Tableau. Must have personal projects or coursework that demonstrate experience in a complex codebase focusing on scraping and processing data, building APIs, and visualizing outcomes. Hands‑on experience applying AI/LLM tools to real projects (e.g., building agents, using APIs, automating analysis). Strong analytical and problem-solving skills with the ability to translate complex requirements into actionable projects. Nice to Have: Exposure to energy markets, commodities, or financial data Additional Information 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. Professional and personal development in a company experiencing strong growth A positive working environment characterized by competence, responsibility and innovation A diverse workplace with regards to gender, age, and cultural background The opportunity to work somewhere with pride, and to be able to honestly say “My work is contributing to saving the planet” Being part of a company proudly certified as a ‘Great Place to Work’ An opportunity to make a difference 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. Business Units: MT - Trading

Responsibilities

The intern will be responsible for building and maintaining data infrastructure like dashboards and pipelines, and supporting fundamental analysis through data scraping, cleaning, and structuring from multiple sources. They will also utilize AI tools to summarize and analyze data efficiently and develop scripts in Python and SQL to accelerate analysis.