We are Centrica! We’re so much more than an energy company. We’re a family ofbrands revolutionising a cleaner, greener future. Working here is**#MoreThanACareer** - we’re powered by purpose. Together we can make animpact that will truly change tomorrow. Whether you’re developing cutting-edgegreen tech, helping customers on the front line or simplifying operationsbehind the scenes.Your work here isn’t just a job – it’s a mission. We allplay a vital role inenergising a greener, fairer future.

Were looking for a skilled Data Scientist to apply machine learning,clustering, and forecasting techniques to analyse large datasets, buildpredictive models, and support business objectives. Youll collaborate withcross-functional teams, deploy models into production, and create compellingvisualizations to communicate insights. You will have a degree in aquantitative field, strong Python skills, experience with machine learningframeworks (e.g., TensorFlow, scikit-learn), and proficiency in datavisualization tools like Power BI. Familiarity with big data and cloudtechnologies 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.

Heres what were looking for:

* Bachelors or masters 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.