Data Science Consultant

Datatech Analytics; City Of London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible Hybrid Working

Pension

Private healthcare

Performance bonus

Share ownership

25 days annual leave

Job summary

Datatech Analytics in London is seeking a Data Science Consultant with a strong focus on Energy & Utilities to apply advanced analytics, machine learning, and mathematical modeling to support energy providers, utility networks, and public sector bodies.

You will work in an agile, cross-disciplinary team alongside software engineers and domain experts, delivering end-to-end analytics solutions from problem framing to deployment in a Hybrid environment with a minimum 3 days on-site per week.

Qualifications

• Degree, Master's, or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics, or related quantitative field.
• Proficient with Python, SQL, and Excel, plus exposure to Databricks, PySpark, Palantir Foundry, or R.
• Proven track record in delivering advanced analytics, OR models, or big data engineering solutions.
• Energy & Utilities experience or strong interest in applying analytics to energy networks and utilities.

Responsibilities

• End-to-End Modeling: Lead and deliver analytics solutions across the full lifecycle—from problem formulation to deployment.
• Sector-Focused Problem Solving: Apply analytics and OR models to energy, utilities, and sustainability challenges.
• Client Translation: Communicate complex methodologies and findings to senior non-technical stakeholders.
• Cross-Functional Collaboration: Join agile teams to build high-performance data products.

Skills

Python

SQL

Excel

PySpark

R

Education

Master's or PhD in Data Science or related quantitative field

Tools

Databricks

Palantir Foundry

Job description

Data Science 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 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 lifecyclefrom 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.