Internship in Algorithmic Energy Management & Analysis (m/f/d)

Düsseldorf, Germany

Statkraft

Statkraft is Europe’s largest generator of renewable energy. We produce hydropower, wind power and solar power and are a global company in energy market operations.

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Company Description


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.

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.

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.

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.

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)

Additional Information

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. With us, you’ll shape a career that is truly forward-facing with many amazing opportunities and offerings to match. This includes:

  • Unlimited learning opportunities at various levels of the organisation including LinkedIn Learning and inspiring leaderships program like IMD
  • 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, parental leave and work life balance principles

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.

Please be informed that we are evaluating suitable candidates on a continuous basis. Applications can be sent exclusively in English.

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Category: Analyst Jobs

Tags: Data analysis Engineering Machine Learning Matlab Python R Security Statistics Trading Strategies

Perks/benefits: Career development Flex hours Parental leave

Region: Europe
Country: Germany

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