Junior Data Scientist

Glasgow, City Of Glasgow, G2 1AL, United Kingdom
2 weeks ago
Job Type
Permanent
Work Location
Hybrid
Seniority
Junior
Education
Degree
Posted
4 May 2026 (2 weeks ago)

I'm hiring for a Data Scientist to join a growing technology company applying advanced data science and machine learning to complex, real‑world problems in a highly regulated environment.

The company has built a proprietary analytical platform that has been successfully validated through large‑scale, real‑world use. The work is firmly applied rather than academic, with a strong focus on robustness, performance, and practical impact. Following recent progress, the R&D team is now expanding and offers a collaborative, mission‑driven culture.

The Role

This role focuses on applied machine learning and data analysis, working with complex datasets alongside scientists and engineers. You'll contribute across the model lifecycle - from exploration and development through to evaluation, documentation, and deployment‑ready outputs.

The position suits an early‑ to mid‑level Data Scientist looking to work on meaningful problems, gain exposure to production‑grade ML, and develop technical judgement with support from senior colleagues.

Essential Experience

Degree in a quantitative or scientific discipline, or equivalent professional experience

Hands‑on experience developing machine learning models

Strong Python skills and clean coding practices

Ability to work with complex datasets and communicate results clearly

Comfortable collaborating across technical and non‑technical teams

Experience producing clear technical documentation or reports

Nice to Have

Experience in regulated or safety‑critical environments

Linux or high‑performance computing exposure

Knowledge of databases or data pipelines

Experience with additional languages (e.g. R, C/C++, C#)

Location & Working Style

Based in Glasgow, with a hybrid working model and flexibility around hours.

Candidates must have the full right to work in the UK permanently without visa sponsorship

Related Jobs

View all jobs

Junior Data Scientist

Experis Glasgow, City Of Glasgow, G2 1AL, United Kingdom
Hybrid

Senior Cyber Security Engineer (AI Safety)

Faculty AI London, United Kingdom
Hybrid

Senior Data Scientist

Faculty AI London, United Kingdom
Remote Clearance Required

Senior Data Scientist

Faculty AI London, United Kingdom
Hybrid

Principal Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist - Financial Crime

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£85,000 – £110,000 pa Hybrid

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.