Decision Intelligence Specialist Energy and Renewables

Datatech Analytics; Birmingham; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A data science organization based in the UK is looking for a Decision Intelligence Specialist to lead projects within the Energy and Renewables sector. The role involves solving complex problems with advanced analytics and applied AI, facilitating real impact in energy transition. Candidates should possess strong experience in data science applications, Python, and stakeholder management. This position offers a hybrid working model and opportunities for growth in varied projects.

Qualifications

• Strong hands-on skills in Data Science and applied AI, with proven delivery experience.
• Proficiency in Python and SQL, and comfortable in modern data environments.
• Depth of knowledge in optimisation, forecasting, digital twins, IoT, geospatial analytics, or NLP.

Responsibilities

• Lead discovery with stakeholders and shape the delivery approach.
• Build, validate, and improve models in partnership with engineering.
• Translate analysis into actionable choices and recommendations.
• Coach others and contribute to reusable solutions.

Skills

Applied Data Science

Stakeholder Management

Python

SQL

Optimisation

Forecasting

NLP

Job description

Decision Intelligence Specialist, Energy and Renewables

Salary DOE

A high impact organization 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 [e-mail]