Junior Data Scientist

Glasgow, City Of Glasgow, G2 1AL, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote

Data Engineer

Reed Gu31Hg, GU3 1HG, United Kingdom
£35,000 – £60,000 pa Hybrid Clearance Required

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 (Model Developer) / Deep Learning Practitioner

Capital One Boultham, Lincolnshire, LN6 7TG, United Kingdom
Hybrid
Job Type
Permanent
Work Location
Hybrid
Seniority
Junior
Education
Degree
Posted
4 May 2026 (Last month)

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

Industry Insights

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

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.