National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Graduate Data Scientist

James Frank Associates
West Malling
2 weeks ago
Create job alert

Our client, a leading business in the Financial Services industry is seeking a Graduate Data Scientist to join their team on a full-time, permanent basis.

Due to growth our client is looking to expand their team, adding a candidate with a minimum of a 2:1 degree in Computer Science (or relevant Data Science / AI degree) as a Graduate Data Scientist.

The ideal candidate will proactive, keen to learn and have a fundamental understanding of programming languages whilst being an analytical thinker.

Key Responsibilities:

  • Work alongside the rest of the data team to build clean and robust data pipelines
  • Develop and test machine learning models to assist in making business decisions
  • Carry out adhoc data requests when required
  • Organise the data and model outputs in a format that is readable and understandable for presentation to senior management

Key Experience:

  • Strong academic background with a minimum 2:1 Degree in Computer Science (or similar)
  • Strong numerical background with a knowledge of key statistical principles – eg Bayesian and frequentist statistics
  • Experience with multiple programming languages including SQL and Python
  • Familiarity with large language models
  • Understanding of ML algorithms

This is an excellent opportunity for a Computer Science Graduate to join a thriving business as a Graduate Data Scientist who are leaders wi...

Related Jobs

View all jobs

Graduate Data Scientist

Graduate Data Scientist

Graduate Data Scientist

Data Scientist - Graduate

Computer Science Graduate

Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.