Data Scientist

Octopus Energy; London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A leading company in the energy sector seeks an experienced Data Scientist to develop optimisation models for low-carbon heating and cooling solutions. This role involves working with cutting-edge technologies to enhance energy efficiency across the UK and Europe.

Qualifications

• Experience in energy management, controls design, or machine learning.
• Solid understanding of machine learning algorithms.

Responsibilities

• Create heating and cooling optimisation models.
• Support the rollout of heating/cooling assets into energy flexibility markets.

Skills

Data Science

Machine Learning

SQL

Python

Energy Management

Education

Master’s degree

PhD

Job description

London, UK / Manchester, UK

Octopus Energy UK – Flexibility /

Full-time /

Hybrid



We’re looking for an experienced and enthusiastic Data Scientist to tackle the challenge of low-carbon heating and cooling flexibility. You’ll help build next-gen optimisation models and control algorithms for heating and cooling consumer assets across the UK, Europe, and beyond.

Your work will support the commercialisation of heat flexibility in the UK and help drive the adoption of low-carbon heating in homes nationwide.

What you'll do:

• Create building-level and fleet-level heating and cooling optimisation models
• Design new & novel approaches to heat and cool homes at lower energy costs
• Work with developers to create & deliver optimisation instructions to Octopus & third-party heat pumps, air conditioners, and associated technologies
• Support the rollout of heating/cooling assets into energy flexibility markets
  
  
  

What you'll need:

• Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems
• A strong grasp of data science tools and platforms (SQL, Python, etc.)
• Solid understanding of machine learning algorithms and experience creating stochastic models
• Knowledge of UK and/or European energy markets, particularly energy flexibility
• Experience building predictive models using a range of data sources (internal and external)
• Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems
• A Master’s degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued
  
  
  

Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at [e-mail] and we’d love to help!

If this sounds like you then we'd love to hear from you.

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Utilities and Environmental Services

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