Senior Data Scientist

Senior Data Scientist

London (Hybrid - 2-3 Days a Week on-site)

£80,000 – £90,000

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

We’re partnering with a global software provider in the energy and utilities sector to hire a Senior Data Scientist to join a high-impact, innovation-focused internal team.

This is a fantastic opportunity to work on cutting-edge and data initiatives, helping shape advanced analytics products used across the business. This is an ultra visible team who will be positioned at the forefront of real innovation.

The Opportunity

As a Senior Data Scientist, you’ll work at the intersection of data, AI, and product development, delivering actionable insights and building scalable models that power real-world applications.

You’ll collaborate closely with engineering, product, and business stakeholders, playing a key role in both discovery and delivery of data-driven solutions.

What You’ll Be Doing:

Data & Insight

• Analyse complex datasets to uncover trends, patterns, and business drivers
• Translate insights into clear, compelling narratives and visualisations
• Identify opportunities to apply AI across products and services

Model Development

• Design, build, and validate machine learning models
• Develop modelling inputs for AI pipelines and platforms
• Implement robust evaluation methods (A/B testing, causal analysis)
• Ensure models are explainable, ethical, and production-ready

Collaboration & Delivery

• Work with data engineers to optimise data pipelines and quality
• Support deployment and monitoring of models in production
• Partner with stakeholders to embed data-driven decision-making

What We’re Looking For:

Essential:

• Strong experience with Python, SQL, and data analysis
• Solid background in statistical modelling & machine learning
• Proven experience building and deploying models end-to-end
• Strong problem-solving mindset with a pragmatic approach
• PhD in degree in a relevant field (Data Science, Statistics, etc.) or commercial equivalent

Nice to Have:

• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with MLOps and production environments
• Exposure to energy, utilities, or telecoms data
• Ability to communicate technical concepts to non-technical stakeholders

Interested? xwzovoh

Apply now or message me directly to learn more — all conversations will be confidential.