Data Scientist

Data Scientist – Renewable Energy 3-Month contract – Inside IR35 – market rate Selby based – hybrid working – 1/2 days office based Must have previous experience in power generation and power trading industry Key Responsibilities • Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value. • 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. Required Skills and Qualifications • At least 5 years’ experience in client‑facing data science roles with demonstrable impact on business outcomes. • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. • 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. • Industry experience in power generation and power trading Preferred Skills and Qualifications • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • 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 Spark and Databricks. • Familiarity with visualisation tools such as Power BI, Tableau, or Plotly. Key Competencies • Strong analytical and conceptual thinking. • 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.