Salary: £45,000 - 80,000 per year Requirements: At least 5 years experience in client-facing data science roles with demonstrable impact on business outcomes. Bachelors or Masters 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. 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. Technologies: Machine Learning PyTorch Python SQL TensorFlow numpy pandas ARM AWS Azure Cloud Databricks Power BI Spark Tableau More: We are a specialist talent acquisition and management consultancy located in Selby, offering hybrid working opportunities. Our team is dedicated to finding innovative solutions in the renewable energy sector, particularly in power generation and trading. As part of our commitment to excellence, we provide our employees with a dynamic work environment and the chance to impact businesses positively through data science. We value continuous learning and encourage our team to stay updated with the latest trends and technologies. last updated 10 week of 2026