INTERNSHIP DETAILS

Intern in Algorithmic Trading & Asset Optimization (m/f/d)

CompanyStatkraft
LocationDusseldorf
Work ModeOn Site
PostedMarch 2, 2026
Internship Information
Core Responsibilities
The intern will engage in short-term analysis, trading, developing tools and models, and supporting operational activities while enhancing fundamental knowledge of energy markets. Key contributions involve the development and innovation of models based on time series and statistical data analysis, focusing on algorithmic trading or asset optimization.
Internship Type
intern
Company Size
4675
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Statkraft is a leading company in hydropower internationally and Europe’s largest generator of renewable energy. The Group produces hydropower, wind power, solar power, gas-fired power and supplies district heating. Statkraft is a global company in energy market operations. Statkraft has 7000 employees in more than 20 countries.
About the Role

Company Description

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.

The energy sector is currently facing a rapid transition towards digitalization and automation driven by decentralisation of (flexible) generation and increased market dynamics. To handle the resulting increased complexity efficiently, Statkraft makes use of algorithmic trading and virtual power plant solutions that automatically balance renewable generation, steer asset flexibility in real-time and run trading activities.

Why join us

We promise, that here with us, you will build a better way. You will take ownership for projects, you will collaborate across boundaries, you will embrace new skills, guide and be surrounded by some of the smartest people in the industry. Together we lead the energy transition to ensure a more sustainable future for our customers, society and future generations. Together, let’s renew the way the world is powered by building a better way.

Job Description

Learning on the job:  You will engage in short-term analysis and trading, develop tools and models, and support operational activities. You will work independently while receiving support from various units, such as analysis and intraday trading, enhancing your fundamental knowledge of the energy markets.

Creativity and innovation: An important part is the new and further development of models, as well as benchmarking and monitoring processes, which are based on time series and statistical data analysis.

Contribute: Depending on your interests and skills, your internship will focus on the following areas:

  1. Algorithmic Trading: Studying of market data using statistical and machine learning methods. You contribute to the development of systematic and algorithmic trading strategies on the short-term power markets.
  2. Automated Flex & Asset Optimization: Development and analysis around the optimization of batteries, flexible generation and demand-side flexibility on short-term power markets and balancing markets in UK and continental Europe. You add value to the team by contributing to price forecasts, optimization algorithms and support day-to-day trading activities.

International working environment: You will be part of an English-speaking and highly international department, which is characterized by creativity, competence, willingness to innovate and a friendly, cooperative atmosphere.

Qualifications

Enrolled in a university degree, ideally with a business, engineering, or science background. We welcome applicants who do not yet have energy market experience.

  • Solid mathematical and statistical skills
  • Proficiency in programming (Python, Matlab or R preferred)
  • Fluency in English to ensure optimal collaboration in an international team (Düsseldorf and London)
  • Nice to have – We’ll teach you otherwise
  • Previous experience with machine learning, time series analysis, and statistical modelling is a plus
  • Previous experience as intern/working student in energy, financial services or data science is an asset
  • Proactive way of working

Additional Information

At Statkraft, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match. This includes (non-exclusive): 

  • A collaborative and supportive work environment characterised by competence, responsibility and innovation
  • A diverse workplace with regard to gender, age and cultural background
  • Flexible working hours to balace your work life
  • Subsidized lunch
  • Participate in Sport Activities

Our vision is to renew the way the world is powered. To navigate the complex journey ahead, we need every voice at the table. We therefore work actively to be a diverse and inclusive workplace and welcome all applicants regardless of background, gender, age, sexual orientation, religious belief, ethnicity, nationality or disability. 

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. We conduct background checks on qualified applicants before hire. This may include a conflicts of interest statement from candidates.

  • Business Units: ME - Energy Management
  • Key Skills
    Algorithmic TradingAsset OptimizationTime Series AnalysisStatistical Data AnalysisMachine LearningPythonMatlabRPrice ForecastsOptimization AlgorithmsIntraday TradingEnergy Markets
    Categories
    EnergyFinance & AccountingData & AnalyticsEngineeringScience & Research
    Benefits
    Flexible working hours