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 #J-18808-Ljbffr