Data Scientist – Renewable Energy

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 energy sector, power generation or 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.

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