Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Credit - Data Scientist - Eximius Finance

Eximius Finance
London
15 hours ago
Create job alert

The role will cover the following aspects:

  • Refine Underwriting Scorecards: Collaborate with other teams to design, test, and deploy new scorecards and scorecard driven strategies in our automated credit systems.
     
  • Leverage Alternative Data: Analyse structured and unstructured data from ecommerce platforms, open banking, and other non-traditional sources to improve underwriting precision and customer segmentation.
     
  • Drive Pricing Optimisation: Support the development of dynamic, risk-based pricing models to ensure alignment between credit risk, customer lifetime value, and revenue objectives.
     
  • Design and Run Experiments: Structure A/B tests and pilots to evaluate the impact of changes in credit policy, eligibility criteria, and pricing strategies.
     
  • Collaborate Across Functions: Partner with teams in Product, Engineering, Sales, and Operations to ensure credit strategy aligns with customer experience, operational capabilities, and commercial goals.

Required skills 

  • Experience within credit / lending idea SME or unsecured consumer 
  • 5-10years in data analytics / data science 
  • Understanding of the fintech landscape and challenges

NB - No sponsorship on offer and the role is 3 days in the office in London.

Related Jobs

View all jobs

Senior Data Scientist - Risk Modelling

Senior Data Scientist - Risk Modelling

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Data Scientist - Risk Analysis

Junior Applied AI & Data Scientist

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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.