Decision Intelligence Specialist

Decision Intelligence Specialist, Energy and Renewables

Hybrid

Salary, DOE

A high impact organisation is expanding its Data Science and AI capability across Energy and Renewables. You’ll work close to the energy transition, helping operators, networks, investors, and innovators turn strategy into delivery, using advanced analytics, optimisation, and applied AI that performs in real world conditions.

If you enjoy complex systems, imperfect data, and decisions with real consequences, you’ll enjoy this role.

Location

UK-based, hybrid. Client site and office days vary by project needs.

The work

You’ll tackle challenges 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

This is delivery led, focused on solutions that land, not research for its own sake.

What you will do

• Lead discovery with stakeholders, define success, shape the approach, and own delivery

• Build, validate, and iterate models, partnering with engineering to deploy, monitor, and improve

• Turn analysis into clear options, 'trade offs', and recommendations that drive action

• Coach others, raise standards, and contribute reusable accelerators and propositions

• Support scoping and proposals, depending on seniority

What you will bring

• Strong hands on data science and applied AI, with 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 simplify complexity without stripping out the nuance

Why join

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

How to apply

Apply via 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