Data Scientist Demand Forecasting (m/f/d) - London 

2 year fixed term contract 

Statkraft believes that renewable energy is not just a solution to climate change but also lower cost than conventional energy. Our vision is to provide pure energy. We support our customers in the “renewable revolution” that has just started as we commence the long journey to net zero carbon emissions. Part of our contribution is through the products we provide our customers. Our values are to be a leading player, innovative and ambitious; creating value whilst balancing the customers and environment’s needs.

Share our passion for renewable energy and be a part of tomorrow’s energy world!

The Continental Energy & Market Access unit is responsible for the energy management of Statkraft’s and 3^rd party assets and market access business across Continental Europe and the UK (currently Germany, UK, Belgium, Ireland, France, Turkey and South East Europe).

The Algorithmic Trading and Analysis Team is responsible for developing and implementing algorithmic trading and virtual power plant solutions that automatically balance renewables, trade and steer asset flexibility in real-time and run proprietary trading activities. Additionally, the team is responsible for developing and managing renewables and demand forecasts in order to commercially optimize Statkraft’s portfolio in the relevant energy markets.

We are looking for an addition to the Algorithmic Trading and Analysis Team to support the growing UK Retail customer business where we have to handle big data sets in order to create reliable demand forecasts for a portfolio of thousands of metering points.

Your role:

The data scientist will primarily support the UK retail business by providing the best short- and long-term consumption forecast of our customer portfolio. This forecast serves as a basis for hedging and trading activities at different trading desks. Additionally, he/she will work on other ad-hoc assignments in modelling and analysis. The data scientist will have responsibilities including but not limited to the following:

• Build data pipelines to pull together information from different source systems; integrate, consolidate, cleanse and structure the data for use in forecasting, modelling and reporting
• Monitor and evaluate forecasting models
• Provide support in troubleshooting data and forecasting issues, operations, and system development
• Work collaboratively with a wide range of departments, including operations, portfolio management, risk control, back office etc.
• Communicate and engage with customers to ensure smooth joint operations and maintain business relationship;
• Coordinate and stay on top of the analysis performed in other parts of Statkraft
• Regularly perform and present ad-hoc analysis for senior management

Your profile:

• Excellent university degree in a quantitative discipline (e.g. statistics, mathematics, computer science, engineering…) or relevant work experience
• Solid programming and data analysis skills, e.g. in Python or R. Familiarity with database language SQL
• Strong knowledge and experience of predictive modelling, timeseries analysis, regression, statistical analysis, data manipulation
• Prior experience of forecasting in the UK energy market, especially at a retail level, is an asset
• Commercial mind-set
• Good communicative skills
• Team player with a proactive and independent working style
• Self-driven, innovative, creative, articulate, able to multi-task and can present ideas and results to non-technical audience.

 Statkraft offers:

• Professional and personal development in a company experiencing strong growth
• A positive working environment characterised by competence, responsibility and innovation
• A diverse workplace with regard to gender, age and cultural background
• Competitive terms of employment and excellent benefit schemes 

Challenged?

Please apply through our online application form attaching your CV on www.statkraft.com

 

Contacts: Thérèse Diffey  (Senior HR Advisor)
                    Telephone: +44 20 74 48 82 32