At a Glance
- Tasks: Solve real-world problems using advanced analytics and machine learning in energy and utilities.
- Company: Join a leading management and technology consultancy with a focus on innovation.
- Benefits: Enjoy flexible hybrid working, excellent pension, private healthcare, and 25 days annual leave.
- Other info: Fast track interview process with dedicated training budget for your professional growth.
- Why this job: Make a real impact on critical national infrastructure while collaborating with top professionals.
- Qualifications: Degree in Data Science or related field; proficiency in Python, SQL, and Excel required.
The predicted salary is between 63000 - 77000 £ per year.
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.
- 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. Apply advanced analytics, OR models, and machine learning to address critical challenges across energy, utilities, and sustainability.
- Cross-Functional Collaboration: Work within agile teams using live whiteboarding and collaborative problem-solving to build high-performance data products.
- Academic Background: Degree, Master's, or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics, or a related quantitative field.
- 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: 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. Excellent pension scheme, private healthcare, performance bonus, share ownership options, and 25 days annual leave.
Interested in driving the future of data across the energy and utility landscape?
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