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.
* 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.
#J-18808-Ljbffr