Join us, be part of more. 

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your team: 

You’ll be working centrally within our mission control room, aka Centrica’s group functions. From Finance and Data Science, to our Wellbeing and People teams - this is the engine of our energy system, where our various Centres of Excellence power up each of our brilliant businesses, ensuring they have all the support, technologies, and capabilities they need to get our customers to Net Zero by 2050.

We're looking for a skilled Data Scientist to apply machine learning, clustering, and forecasting techniques to analyse large datasets, build predictive models, and support business objectives. You'll collaborate with cross-functional teams, deploy models into production, and create compelling visualizations to communicate insights. You will have a degree in a quantitative field, strong Python skills, experience with machine learning frameworks (e.g., TensorFlow, scikit-learn), and proficiency in data visualization tools like Power BI. Familiarity with big data and cloud technologies is a plus. Travel to Windsor will be required on occasion.

Key responsibilities will include:

Data Analysis and Modelling: Apply machine learning, clustering and forecasting techniques to analyse large datasets and extract meaningful patterns and insights. Develop predictive models and algorithms to support business objectives.

Data Exploration and Visualization: Explore and pre-process raw data to uncover trends, anomalies, and patterns. Create clear and compelling visualizations to communicate findings to both technical and non-technical stakeholders.

Collaboration: Work closely with cross-functional teams, including business analysts and IT professionals, to understand business requirements and formulate data-driven solutions. Collaborate with domain experts to integrate domain knowledge into analytical models.

Model Deployment: Implement and deploy machine learning models into production environments. Monitor and optimize model performance over time.

Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data science and machine learning. Apply new methodologies and technologies to improve existing processes and solutions.

Here's what we’re looking for:

Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related quantitative field.

Proficiency in programming languages such as Python for data analysis and modelling.

Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

Experience with data visualization tools (e.g., Power BI, plotly, matplotlib).

Experience with big data and cloud technologies (e.g., DataBricks, Azure, Spark) is a plus.

Excellent problem-solving and analytical skills with a keen attention to detail.

Effective communication skills, with the ability to present complex findings to both technical and non-technical audiences.

Why should you apply?

We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.