Data Scientist

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