Data Scientist – Energy Systems Insight & Modelling

National Energy System Operator Limited; Warwick; On-site; GBP 63,000 - 81,000; Full time

Benefits offered by this job

Bonus

26 days annual leave

Pension contribution

Savings plan

Job summary

National Energy System Operator Limited (NESO) is seeking a Connections Data Scientist to advance predictive and prescriptive analytics across operational, customer, regulatory and programme datasets. You will design scalable data assets, forecast delivery risks and translate evidence into strategic recommendations for senior leaders.

The role requires strong Python, SQL, and data visualization skills, plus experience with data governance, validation and model deployment.

Qualifications

• Proven ability to turn complex operational data into clear analysis and recommendations.
• Strong capability in Python, SQL, Excel and PowerBI for data extraction, transformation, validation and dashboarding.
• Experience communicating data insights to non-technical audiences and influencing decisions.

Responsibilities

• Translate strategic priorities into data science questions, define success measures and prioritise an analytical portfolio.
• Lead development and delivery of reporting, engaging stakeholders to understand analytical requirements and present insights clearly.
• Source, integrate and engineer complex datasets for advanced modelling and insight, ensuring data quality controls.
• Design, develop and validate statistical, machine-learning, forecasting, clustering and optimisation models.
• Create reproducible analytic pipelines and reusable code libraries supporting operational use.

Skills

Python

SQL

Excel

PowerBI

Data analysis

Stakeholder engagement

Education

Degree in analytical numerical or technical subject

Tools

Palantir Foundry

Azure

Data catalogues

Data quality tooling

Job description

National Energy System Operator Limited (NESO) is seeking a Connections Data Scientist to advance predictive and prescriptive analytics across operational, customer, regulatory and programme datasets. You will design scalable data assets, forecast delivery risks and translate evidence into strategic recommendations for senior leaders.

The role requires strong Python, SQL, and data visualization skills, plus experience with data governance, validation and model deployment.