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Job Description

Senior Data Scientist

Hybrid - 1/2 days a week in Guildford

Up to £80,000

About the Role

Our client is a specialist technology and analytics consultancy delivering advanced data science solutions into complex, mission-critical environments. Working across sectors such as aviation, defence and high-reliability systems, they help organisations turn challenging, data-rich problems into scalable, impactful solutions.

They are now looking for a Senior Data Scientist to take a leading role across a portfolio of technically demanding projects. You’ll operate end-to-end - shaping problem definitions, engineering data pipelines, developing advanced models, and ensuring outputs are robust, explainable and deployable in real-world settings.

This is a hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models.

You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment combines the rigour of mission-critical work with a modern, product-led mindset — giving you the opportunity to build scalable solutions, launch new capabilities, and see your work make a tangible impact.

Key Responsibilities

Translating complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching multiple data sources. Collaborating closely with other data scientists, engineers and stakeholders to deliver production-ready solutions.

Your work will focus on delivering high-value outcomes, including:

Advanced statistical and probabilistic modelling. Machine learning and deep learning model development. Building scalable, maintainable analytical pipelines. Delivering insight and models that perform reliably in complex operational environments.

What We’re Looking For

Strong experience in Python and SQL, including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering-minded approach to data science, with a focus on real-world impact. Strong communication skills and the ability to work collaboratively in technical, cross-functional teams.

If this role looks of interest, please apply below.

Please note - this role cannot offer sponsorship.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.