Data Scientist

An opportunity to join a high-impact Digital Solutions team focused on applying AI and data science to real-world engineering and operational challenges.

This role sits at the intersection of analytics, machine learning and applied problem-solving. The focus is on extracting value from complex, imperfect datasets, including correlating large-scale operational data such as gas leak and infrastructure datasets.

This is not a reporting-led Data Analyst position. The emphasis is on modelling, experimentation and turning raw data into predictive, commercially meaningful outputs.

Key Responsibilities

• Analyse and correlate complex operational datasets to uncover patterns and insights
• Clean, restructure and prepare raw data for modelling
• Build and validate machine learning models
• Apply statistical and ML techniques to real-world engineering challenges
• Translate technical findings into practical business recommendations
• Operate with autonomy in exploring new data-driven solutions

What They’re Looking For

• Academic background in Data Science, AI, Mathematics, Physics, Engineering or similar
• Strong grounding in data science and machine learning concepts
• Experience with statistical modelling and data manipulation
• Comfort working with ambiguous or messy datasets
• PhD preferred, but exceptional academic track record essential
• Self-starter with intellectual curiosity and problem-solving mindset

Ideal Candidate

• Strong theoretical understanding of ML principles
• Comfortable moving from raw data through to working models
• Naturally analytical and detail-oriented
• Motivated by applying AI to real-world, safety-critical or infrastructure-focused problems

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