Job Description
(Senior) Forecasting Data Scientist (m/f/d)

IN SHORT

Are you an experienced Data Scientist looking for an opportunity to use your expertise in taking our forecasting models to the next level? Our Portfolio Modelling & Forecasting team in Manchester develop models that support our gas and power energy portfolios and are looking for an experienced Data Scientist to work with key stakeholders to develop tailored insight into demand and portfolio forecasts.

WHAT WILL YOU DO

Working with key stakeholders in risk, sales portfolio optimisation, quant execution and risk you will

  • Build, develop, and deploy forecasting models to support business requirements
  • Collaborate with key stakeholders on portfolio insights and sensitivity modelling
  • Advance the monitoring of model accuracy and performance
  • Maintain a continuous learning approach to ensure solutions remain up to date

WHAT WILL YOU BRING

You will bring proven experience in a data science role demonstrating the ability to translate business challenges into analytical problems and develop data driven solutions. Self-motivated with strong organisational skills you will have effective communication skills (both written and verbal) with the ability to position your message appropriately for the audience through effective presentation skills.

You will also demonstrate the following

  • High level proficiency in Python, SQL, and Machine learning techniques
  • Advanced analytical competencies
  • Proven experience in data science across power or broader  energy industry (desirable)
  • Experienced in the delivery of time series forecasting and analysis (desirable)

ABOUT US

Securing Energy for Europe – it’s a simple statement, with a bold ambition. SEFE is not just our name, but also encompasses everything that drives us. To accomplish this, we’re taking immediate action to secure gas supply – but also looking forward, to explore our role in the European energy transformation and how we can contribute to a stable and sustainable future.  

 

SEFE, an international energy company, ensures the security of supply and drives the decarbonisation of its customers. SEFE’s activities span the energy value chain, from origination and trading to sales, transport, and storage. Through its decades-long expertise in trading and the development of its LNG business, SEFE has become one of the most important suppliers to industrial customers in Europe, with an annual sales volume of 200 TWh of gas and power. Its 50,000 customers range from small businesses to municipalities and multinational organisations. By investing in clean energies and especially in the hydrogen ecosystem, SEFE is contributing to the energy transition. The company employs around 2,000 people globally and is owned by the Federal Government of Germany.

 

Our international teams work across locations in Europe, Asia, and North America. We’re passionate about energy and the important role it can play in shaping a better future.  

 

Securing energy – now and for the future.

OUR BENEFITS

In return we offer a competitive starting salary supported by a comprehensive range of financial, lifestyle and wellness benefits with the flexibility to follow a hybrid working model.

 

  • bonus earning potential
  • non-contributory pension with 10% employer contribution
  • 25 days holiday plus bank holidays and volunteering days
  • buy / sell holidays
  • life assurance
  • medical and dental insurance (family cover)
  • range of optional flexible benefits

We are committed to supporting your career growth with opportunities to develop both your knowledge and experience through a blended approach to learning.


Join SEFE and help us secure energy supply across Europe and shape a better, more sustainable tomorrow.

 

#LI-JG1

Information at a Glance
Job Title:  (Senior) Forecasting Data Scientist (m/f/d)
Job Country:  United Kingdom, Germany
Job Location:  Kassel, Germany | Manchester, United Kingdom
Posting Start Date:  08/12/2025
Business Function:  Data Management & Data Analytics
Contract Type:  Permanent