Graduate AI Data Scientist

Global Tech Recruitment
London, United Kingdom
3 weeks ago
£42,000 – £45,000 pa
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid

Senior CFD Engineer - Multiphase

PhysicsX London, United Kingdom

Machine Learning Research Engineer

Luminance Cambridge, United Kingdom
Hybrid

EMEA Energy Industry Go-To-Market (GTM) Leader

Databricks United Kingdom
Hybrid

Accounts Payable Specialist

Ocado United Kingdom

Intelligence Intern - ART

CrowdStrike United Kingdom
Remote

Salary

£42,000 – £45,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Entry
Education
Degree
Posted
28 Apr 2026 (3 weeks ago)

Benefits

Comprehensive full in-house training program Exposure to real-world AI projects Supportive and collaborative working environment Clear career development paths with ongoing mentorship and support

Training: Full in-house training provided by the hiring company, no experience required.

About the Role:

Our client, a growing company working in the AI and data space, is hiring Graduate AI Data Scientists to join their team in London. This is an entry-level opportunity suitable for recent graduates or early-career candidates looking to start a career in AI and data science, with full training provided.

As a Graduate AI Data Scientist, you will work closely with cross-functional teams to support the analysis of datasets, assist in building predictive models, and contribute to delivering insights that support business decisions and AI product development.

Key Responsibilities:

• Assist in collecting, processing, and analyzing datasets from various sources

• Support the development, training, and validation of machine learning models

• Perform exploratory data analysis to identify trends, patterns, and insights

• Collaborate with data engineers, machine learning engineers, and product teams

• Help communicate findings and model results to both technical and non-technical stakeholders

• Stay up-to-date with the latest developments in AI, machine learning, and data science

Essential Skills & Qualifications:

• Basic understanding of statistics, data analysis, and machine learning concepts (e.g., regression, classification, clustering)

• Exposure to data preprocessing, cleaning, and feature engineering (e.g., through academic or personal projects)

• Ability to work with structured and unstructured data at a foundational level

• Awareness of ethical considerations in AI

• Degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline — or equivalent practical experience

• Good communication skills with the ability to explain concepts clearly

Desirable Skills (training provided where necessary):

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)

• Basic knowledge of SQL and working with databases

• Awareness of cloud platforms such as AWS, Azure, or Google Cloud

• Understanding of AI ethics, data privacy, and compliance considerations

• Experience with Python and data science libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib

What We Offer:

• Starting salary of £42,000 per annum with opportunities for growth

• Comprehensive full in-house training program provided by the hiring company

• Exposure to real-world AI projects and practical applications

• Supportive and collaborative working environment

• Flexible work options, with office locations in London

• Clear career development paths with ongoing mentorship and support

How to Apply:

If you’re ready to start your career in AI and data science with full training and support, we’d love to hear from you. Please submit your CV and a cover letter explaining your interest and any relevant academic or project experience

Industry Insights

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

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

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

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.