Many need or crave power, and the word has a few meanings.

We all want the power to influence the behaviour of others or the course of events.

We all need the power to fuel our homes, businesses and world.

However, one of the world's biggest challenges is transitioning to renewable energy and in 2016, over 140 countries agreed in Paris to the ambitious net zero target by 2050. 

As a data scientist, you’re used to having power, transforming raw data into actionable insights that influence strategy, product development and forecasting.

True power is being a data scientist who helps the power industry and the world to achieve net zero.

Do that by joining a growing 105-person energy consultancy that creates the mathematical models and forecasting tools that help governments and other energy decision-makers across Europe design better renewable energy and sustainability policies. 

Their 20-person power market modelling team are moving to optimisation-based models, but only one person on the team has that sort of background, so they need more expertise, specifically in the mixed integer linear program (MILP) models.

For example, in the models they’re building for European governments and regulators, European power stations all have different types of power generation, power and technology restraints, and weather patterns.

Throw in the new technologies needed for the energy transition and the new grid problems in a highly renewable system which all need to be integrated into the problem.

A key challenge for the team is to optimise the cheapest generation sources to meet demand or how demand adapts to reduce the cost of power it needs.

You and the team build all the high-impact, greenfield models and tools in-house. However, you'll also be responsible for optimising and consulting with the team to optimise and debug their models to increase efficiency.

You'll work just 35 hours per week and enjoy a benefits package that reflects the company's reputation for fairness and care.

Lastly, inclusivity isn’t just a PR slogan. For example, they’ve achieved 13 DEI awards in the last five years, and their LGBT+, women's, multicultural, and well-being networks tackle significant issues and unite their people. 

• Headline Benefits – Up to 10% pension, Bupa Private Healthcare, 26 days plus bank holidays, enhanced maternity, paternity, adoption, shared parental leave and other flexible benefits and schemes.
• Work Location – Hybrid – Twice a week in Central London.
• Visa Sponsorship – Not available

The role will suit an experienced junior to mid-level data scientist with optimisation experience, specifically in linear programming or mixed integer linear programs (MILP).

You’ll need a degree in Operations Research, Mathematics, Data Science, Engineering, Artificial Intelligence, Quantitative-focused subjects, or other math-intensive subjects.

You’ll have strong object-oriented programming skills with C#, Python or Java (They use C# mainly)

You’ll interact with many non-technical people, such as consultants or clients, so it's crucial to explain complex technical concepts in a way that they can understand and that doesn’t make them feel excluded.