Job Description

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. We are currently looking for an addition to our Algorithmic Energy Management & Analysis team located in Düsseldorf.

Your role:

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


• 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): 

• The chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds


• The opportunity to work somewhere with pride, and to be able to honestly say “My work is contributing to saving the planet”


• A work culture that puts emphasis on the individual, offering flexible working solutions, and work life balance principles


• A focus on fun outside of work, supported by various activity groups such as soccer, yoga, sailing, climbing, boxing, cabin rentals, and much more


• Being part of a company proudly certified as a ‘Great Place to Work’

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.

About the internship:

• Duration:6 Months


• Expected start date: Preferably July / August 2025