Data Analytics Consultant

Datatech Analytics; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Excellent pension scheme

Private healthcare

Performance bonus

Share ownership options

25 days annual leave

Job summary

Datatech Analytics is seeking a Data Science and Analytics Consultant (Energy & Utilities) in London. Hybrid role with a minimum on-site presence of three days per week. You will apply advanced analytics, ML, and mathematical modeling to help energy providers, utilities, and public sector bodies drive evidence-based decisions.

You will collaborate with software engineers, domain experts, and strategists in an agile environment, delivering end-to-end analytics across the full lifecycle.

Qualifications

• Academic background in Data Science, Mathematics, Operational Research, Physics or Statistics.
• Proficiency with Python, SQL, and Excel; exposure to Databricks, PySpark, Palantir Foundry, or R.
• Experience delivering advanced analytics, algorithm design, OR, or big data engineering solutions.
• Energy & Utilities affinity through work or interest.

Responsibilities

• Lead end-to-end analytics solutions across the full analytics lifecycle.
• Apply analytics, OR models, and ML to energy, utilities, and sustainability challenges.
• Translate business requirements into analytical solutions for senior stakeholders.
• Collaborate in agile teams to build data products.

Education

Data Science / Mathematics / Operational Research / Physics / Statistics (degree)

Tools

Databricks

PySpark

Palantir Foundry

R

Python

SQL

Excel

Job description

Data Science and Analytics Consultant (Energy & Utilities)

Location: London / Hybrid (Minimum 3 days/week on site)

Position Type: Permanent - Fast track interview process

Are you an experienced Data Science or Analytics professional looking to solve complex, real-world problems for critical national infrastructure?

We are partnering with a world leading management and technology consultancy to find a Data Science Consultant with a strong focus on the Energy & Utilities sectors.

In this role, you will apply advanced analytics, machine learning, and mathematical modeling to help major energy providers, utility networks, and public sector organizations drive evidence based decision making. You will work within an agile, cross-disciplinary environment alongside software engineers, industry strategists, and domain experts.

Key Responsibilities

• End-to-End Modeling: Lead and deliver solutions across the full analytics lifecycle—from problem formulation and exploratory data analysis to model design, testing, and deployment.
• Sector-Focused Problem Solving: Apply advanced analytics, OR models, and machine learning to address critical challenges across energy, utilities, and sustainability.
• Client Translation: Translate complex business requirements into analytical solutions, effectively communicating technical methodologies and findings to senior non-technical stakeholders.
• Cross-Functional Collaboration: Work within agile teams using live whiteboarding and collaborative problem-solving to build high-performance data products.

What We’re Looking For

• Academic Background: Degree, Master's, or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics, or a related quantitative field.
• Core Technical Stack: Hands-on proficiency with Python, SQL, and Excel, alongside exposure to platforms like Databricks, PySpark, Palantir Foundry, or R.
• Specialized Experience: Proven track record in delivering advanced analytics, algorithm design, operational research, or big data engineering solutions.
• Energy & Utilities Affinity: Direct experience or a deep interest in applying analytical frameworks to energy networks, utility operations, and environmental infrastructure.

Requirements & Security Clearance

• Due to the nature of client assignments (including public sector and critical national infrastructure), candidates must meet UK security vetting prerequisites:
• Must hold British Citizenship OR have been a continuous resident in the UK for at least the past 5 years.

Why Consider This Role?

• Dedicated Technical Track: Clear progression path
• Continuous Learning: Dedicated training budget for technical certifications and professional development.
• Flexible Hybrid Working: Balanced approach with a minimum of 3 days per week in the office or client site.

However this may flex up and down depending on client requirements

• Competitive Package: Excellent pension scheme, private healthcare, performance bonus, share ownership options, and 25 days annual leave.