Ph3Who We Are /h3 pWe 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. /p h3What You’ll Be Doing /h3 ul liCollect, clean, and transform structured and unstructured data from multiple internal and external sources /li liDevelop, test, and deploy predictive models and machine learning algorithms to address business challenges /li liConduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers /li liCommunicate insights and recommendations through clear storytelling, visualisations, and dashboards /li liCollaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance /li liEvaluate model accuracy and effectiveness, implementing continuous optimisation and tuning /li liStay up to date with emerging data science tools, methodologies, and industry best practices /li liPerform sensitivity analysis to assess model robustness and variable impact /li /ul h3What You’ll Bring Along /h3 ul liBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline /li liMinimum 3-5 years’ experience in client-facing Data Science roles with demonstrable impact on business outcomes /li liStrong proficiency in Python or R, including libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch /li liSolid understanding of statistical analysis, hypothesis testing, and experimental design /li liHands‑on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods) /li liProficiency with SQL and data warehousing technologies /li liAbility to translate complex analytical findings into clear, practical business recommendations /li liStrong problem‑solving skills and natural curiosity for exploring and understanding data /li /ul h3Preferred Skills and Qualifications /h3 ul liExperience working with cloud platforms such as Azure /li liBackground in deploying machine learning models into production environments (MLOps experience is advantageous) /li liHands‑on experience with big‑data or distributed computing tools such as Fabric /li liFamiliarity with visualisation tools such as Power BI, Tableau, or Plotly /li liIndustry experience primarily in Energy Utilities /li liExcellent communication and data‑storytelling capabilities /li liEffective collaboration and stakeholder‑engagement skills /li liHigh attention to detail and commitment to data accuracy /li liContinuous learning mindset and openness to new techniques and technologies /li /ul /p #J-18808-Ljbffr