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.