Data Science Consultant

Datatech; Greater London; Hybrid; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Pension scheme

Private healthcare

Performance bonus

Share ownership

25 days annual leave

Job summary

Datatech invites applications for a Data Science Consultant focusing on Energy & Utilities to solve real-world problems for critical national infrastructure. This permanent, fast-track interview role is based in London with a hybrid working model requiring a minimum of 3 days on site each week.

You will apply advanced analytics, machine learning and optimization methods to energy networks, utilities, and public sector clients, collaborating within agile cross-functional teams to deliver scalable

Qualifications

• Degree or higher in a quantitative field (Data Science, Math, OR, Physics).
• Strong coding in Python/SQL with hands-on analytics experience.
• Experience applying analytics, optimization, and ML to energy/utilities problems.

Responsibilities

• End-to-End analytics lifecycle from problem framing to deployment.
• Apply analytics, OR models, and ML to energy/utilities challenges.
• Translate requirements for senior stakeholders and deliver data-driven insights.
• Collaborate in agile teams to build data products and solutions.

Skills

Python

SQL

Excel

Databricks

PySpark

Palantir Foundry

R

Statistical Modeling

Education

Data Science / Math / OR / Physics PhD

Tools

Databricks

PySpark

Palantir Foundry

R

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.