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Senior Data Scientist

Job in Guildford, Surrey County, GU1, England, UK
Listing for: Harnham
Full Time, Part Time, Seasonal/Temporary position
Listed on 2025-12-22
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 GBP Yearly GBP 80000.00 YEAR
Job Description & How to Apply Below

Senior Data Scientist

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

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, Num Py and scikit-learn.
  • Experience working with deep learning frameworks such as PyTorch or Tensor Flow.
  • 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.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Science, Analyst, Engineering

Industries: IT Services and IT Consulting

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Position Requirements
10+ Years work experience
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