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 product ionise 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, Num Py, Tensor Flow, 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.

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today.

We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change