Data Scientist
Data Scientist
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Job Description
The Energy Management business unit in Statkraft is responsible for the physical optimization of more than 11000 MW of hydropower 15000 MW of wind power and a consumer portfolio of more than 65 TWh/year. The unit consist of more than 150 highly skilled employees located in Oslo Trondheim and Dsseldorf who all work in an integrated energy management process consisting of water weather and climate market analysis production planning and physical power trading.
The Water Weather and Climate team in Statkraft provides meteorological and hydrological analysis data and algorithms to a wide range of uses in Statkraft from operational production planning to climate assessments and valuations of power plants. To strengthen our capability both with regards to competence and capacity we are looking for a passionate Data Scientist to join the team.
In this role your responsibilities will include developing and delivering excellent analysis and data on meteorology and hydrology to our users around the world.
Your work will primarily revolve around
- improving our forecasting of the hydrological and meteorological resources available to our power plants
- working in the modelling framework Shyft
- exploring machine learning applications for resource forecasts
- and collaborating closely with colleagues and stakeholders to ensure that we provide everything our analysis teams and decisionmakers need.
Qualifications :
Your profile
We are looking for someone with the essential skills to futureproof our business and renewable energy solutions and believe that includes:
- Masters degree or higher within natural sciences or information sciences.
- Experience working with hydrological or meteorological modelling in Python or C.
- Experience with machine learning for time series problems.
- Experience working with large amounts of time series data and common grid data formats.
- Proven skills in communicating complex topics clearly and effectively.
- A flexible approach to the kinds of problems that need to be solved at any given time.
- Experience with agile methodologies and close continuous teamwork is an advantage.
- Experience within software development is an advantage.
- Experience solving data assimilation problems is an advantage.
- English fluency is required both oral and written. Norwegian fluency is an advantage.
Additional Information :
What we offer
- Unlimited learning opportunities in different value streams and levels of the organisation.
- Be part of a team with multiple ongoing R&D projects with external research communities.
- The chance to grow your career alongside a truly global network of experts leaders specialists and graduates from different countries and backgrounds.
- You work will be contributing to saving the planet.
- A work culture that puts emphasis worklife balance.
- A focus on fun outside of work supported by various activity groups such as soccer yoga sailing climbing boxing cabin rentals and much more.
- Statkraft offer competitive terms of employment and benefits schemes and we are 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.
Statkrafts 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 manages critical infrastructure and services in several countries. The applicant must be eligible for security clearance and authorization.
Deadline: 27th of January 2025.
Location: The position will be located at the head office in Lilleaker Oslo or Sluppen Trondheim and will report to Head of WWC Model Development & Support.
Contact: For more information please contact Tobias Litherland Head of WWC Model Development & Support phone: .
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
