Decision Intelligence Specialist Energy and Renewables

Job description

Decision Intelligence Specialist, Energy and Renewables

Salary DOE

A high impact organiation is growing its Data Science and AI team across Energy and Renewables. You’ll sit close to the energy transition, helping operators, networks, investors, and innovators turn ambition into real delivery, using advanced analytics, optimisation, and applied AI that holds up in practice.

If you like complex systems, messy data, and decisions that matter, you’ll enjoy this.

Location

UK based, hybrid, client site and office days vary by project.

The work

You’ll help solve problems such as,

• flexibility, storage, demand response, pricing, decision grade modelling under uncertainty
• digital twins, sensors, operational analytics, resilience and performance improvement
• forecasting, time series, anomaly detection, predictive maintenance
• geospatial and environmental analytics, hazards, climate informed planning
• pragmatic NLP and GenAI, retrieval, summarisation, copilots, only where it accelerates outcomes

This is delivery led, not research for research’s sake.

What you will do

• lead discovery with stakeholders, define success, shape the approach, own delivery
• build and validate models, partner with engineering to deploy, monitor, improve
• turn analysis into clear choices, trade offs, and recommendations that drive action
• coach others, raise standards, contribute to reusable accelerators and propositions
• support scoping and proposals, depending on seniority

What you will bring

• strong hands on DS and applied AI, proven delivery beyond prototypes
• Python, solid SQL, comfortable in modern data environments
• depth in one or more of, optimisation or OR, forecasting and time series, digital twins or IoT, geospatial or climate analytics, NLP or RAG or practical GenAI
• strong stakeholder skills, you can make the complex simple without oversimplifying

Why join

High impact energy transition work, varied projects, strong craft culture, and genuine room to grow.

How to apply - Apply to the Advert or

Send a CV or LinkedIn profile plus a short note on the problems you like solving, to justin.toomey@datatech.org.uk

Extra information

Status

Open

Education Level

Secondary School

Location

England

Type of Contract

Part-time jobs

Published at

23-12-2025

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English