Job Description

Who we are

We are looking for an experienced Data Scientist for our client, one of the UK’s major energy providers. The role focuses on being a partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value.

What you'll be doing

• Collect, clean, and transform structured and unstructured data from multiple internal and external sources
• Develop, test, and deploy predictive models and machine learning algorithms to address business challenges
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers
• Communicate insights and recommendations through clear storytelling, visualisations, and dashboards
• Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance
• Evaluate model accuracy and effectiveness, implementing continuous optimisation and tuning
• Stay up to date with emerging data science tools, methodologies, and industry best practices
• Perform sensitivity analysis to assess model robustness and variable impact

What you'll bring along

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline
• Minimum 3-5 years’ experience in client-facing Data Science roles with demonstrable impact on business outcomes
• Strong proficiency in Python or R, including libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch
• Solid understanding of statistical analysis, hypothesis testing, and experimental design
• Hands-on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods)
• Proficiency with SQL and data warehousing technologies
• Ability to translate complex analytical findings into clear, practical business recommendations
• Strong problem-solving skills and natural curiosity for exploring and understanding data
• Preferred Skills and Qualifications
• Experience working with cloud platforms such as Azure
• Background in deploying machine learning models into production environments (MLOps experience is advantageous)
• Hands-on experience with big-data or distributed computing tools such as Fabric
• Familiarity with visualisation tools such as Power BI, Tableau, or Plotly
• Industry experience primarily in Energy & Utilities
• Excellent communication and data-storytelling capabilities
• Effective collaboration and stakeholder-engagement skills
• High attention to detail and commitment to data accuracy
• Continuous learning mindset and openness to new techniques and technologies