Data Scientist

Octopus Energy; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you’ll tackle the exciting challenge of low-carbon heating and cooling flexibility. You will develop next-gen optimisation models and control algorithms that support the commercialisation of heat flexibility across the UK. This role offers a unique opportunity to impact the adoption of low-carbon heating in homes while collaborating with developers and leveraging your expertise in data science tools. With a focus on innovation and sustainability, this position promises a rewarding career path in a dynamic environment.

Qualifications

• Experience in energy management or machine learning applied to energy.
• Strong grasp of data science tools and platforms.

Responsibilities

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

Skills

Data Science Tools

SQL

Python

Machine Learning Algorithms

Predictive Modeling

Energy Management

Controls Design

Knowledge of UK Energy Markets

Education

Master’s Degree in Data Science

PhD in a Quantitative Field

Tools

Data Science Platforms

Stochastic Models

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.