Data Scientist

Harnham
england, united kingdom, united kingdom, England
5 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid

Data Scientist

Advertising Standard Authority Old Street, London, United Kingdom
£45,000 – £60,000 pa Hybrid

Data Scientist

Randstad Technologies Recruitment London, United Kingdom
Posted
22 Dec 2025 (5 months ago)

Data Scientist - Fully Remote

We are working on a Data Science role with a leading FTSE100 company that are going through a major data transformation. They've built a strong Data Engineering foundation and are now expanding into advanced analytics and Data Science. This role is the first permanent Data Scientist in the team - a genuinely rare opportunity to shape what Data Science looks like from the ground up.

What You'll Be Working On

  • A mix of traditional DS and cutting-edge AI/LLM work, including:
  • Building models and analytics to support commercial teams
  • Developing Q&A-style LLM tools inside Databricks
  • Exploring customer satisfaction and review data (e.g., identifying drivers behind quality scores)
  • NLP on large volumes of free-text data
  • Regression and hypothesis testing across product and operational data
  • Theme extraction from defect reports and customer feedback
  • Helping challenge assumptions with data-driven evidence

Tech Environment

  • Python & SQL
  • Machine Learning, statistical modelling, data manipulation
  • Cloud-first setup (Azure preferred; Databricks is widely used)
  • Exposure to LLMs or AI agents is extremely valuable

Desired Skills and Experience

Python, SQL, Databricks, LLM, NLP

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.