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

Nominate & Attend

Data Scientist

Norton Blake
City of London
4 days ago
Create job alert

Data Scientist – AI & Machine Learning | FinTech Innovation
Location: Hybrid – Central London
Employment Type: Permanent
Salary £80,000+

My client, a leading fintech, is searching for a Data scientist to join their team. The client is backed by major banks and market leaders and is creating a collaborative, data-driven platform that connects firms and transforms risk control processes. They are now looking to add a further

Data Scientist

with a strong grasp of machine learning, LLMs, and graph-based methods to help us shape the future of risk intelligence.

About the Role
You’ll be at the forefront of AI innovation within their platform – identifying how ML and LLMs can improve both client-facing value and internal efficiency. You’ll work closely with an intellectually curious, cross-functional team to design and implement production-ready ML solutions, particularly around recommender systems, NLP, and advanced data pipelines.

What You’ll Be Doing
Evolving and improving their recommender system methodology for better automation and alignment
Exploring and applying state-of-the-art graph-based AI techniques
Leveraging LLMs and unstructured data to extract meaningful insights
Building prompt engineering strategies into our LLM-driven tools
Writing production-grade Python code for ML pipelines
Contributing to MLOps and LLMOps best practices

What You’ll Bring
Proven experience in a Data Science or ML-focused role
Strong understanding of recommender systems and statistical/ML techniques
Experience working with natural language data and LLMs
Excellent Python programming skills and strong data visualisation/feature engineering experience
A creative, research-driven mindset and a passion for exploring new data-driven use cases

Please apply for more information

Related Jobs

View all jobs

Data Scientist

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

Data Science Placement Programme

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.

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

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.