Decision Intelligence Specialist Energy and Renewables

Datatech Analytics; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

A high-impact analytics firm in the UK seeks a skilled data science professional to lead projects in energy and renewables. You'll be responsible for turning complex data analysis into actionable recommendations while collaborating with engineering teams. Candidates should possess strong Python and SQL skills, a background in applied AI, and the ability to simplify complex challenges for stakeholders. This role offers diverse projects and opportunities for growth within a dynamic team focused on energy transition.

Qualifications

• Proven delivery beyond prototypes in data science.
• Depth in optimization, forecasting, or geospatial analytics.
• Comfortable in modern data environments.

Responsibilities

• Lead discovery with stakeholders and define success.
• Build and validate models with engineering partnership.
• Turn complex analysis into clear recommendations.
• Coach others and contribute to reusable propositions.

Skills

Strong hands-on data science and applied AI

Python

Solid SQL

Strong stakeholder skills

Job description

Technical Expertise Areas

• 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.

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.