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

Apply Now

Associate Risk Data Scientist

Virgin Money
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Credit Risk Manager (Data Scientist)

Lead Data Scientist — Global Fraud Risk & ML Innovation

Head of Data Science

Lead Data Scientist - Fraud Prevention

Data Scientist - Statistician

Data Science Lead

Business Unit: IRB, Scorecards & Non-Financial Risk (IS&N) Salary range: £25,600 - £38,400 Employment Type: Fixed term circa 12 Month Maternity Cover Be a change maker with more cha-ching. Live a life more Virgin. Our team As part of the IRB, Scorecards & Non-Financial Risk team you’ll help to secure the foundations of our business decisions by providing quantitative and qualitative analysis across our model suite, providing solutions support the acquisition of new business, risk based account management and manage capital across the bank’s lending portfolios. What you’ll be doing • Analytical/statistical modelling and data analysis to support the development of the bank’s models. • Clearly defining problem statements and researching and testing innovative solutions to address these. • Reviewing existing models to demonstrate continued performance and identify potential enhancements to the modelling suite. • Documenting the process and outcome of your analysis to support internal review, stakeholder engagement and change proposals. • Supporting the scoping, design, development, validation and implementation of models. We need you to have • Strong analytical skills with a good degree in a numerate discipline subject (e.g. statistics, engineering, econometrics). • Practical experience of distilling and interpretating complete data and analysis. • Great communications skills both verbal and written. • Ability to drive and learn statistical techniques and coding languages. It’s a bonus if you have but not essential • Advanced Degree (PhD, Masters) in a data science related area. • Expertise in the use of statistical analysis software (e.g. SAS, Python, R) as well as MS Office. • An understanding of statistical modelling techniques such as hypothesis testing, probability distributions and Regression. Red Hot Rewards Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time)​ plus the option to buy more. Up to five extra paid well-being days per year​. 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt. Market-leading pension. Free private medical cover, income protection and life assurance. Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness. And there's no waiting around, you'll enjoy these benefits from day one. Feeling insatiably curious about this role? If we’re lucky to receive a lot of interest, we may close the advert early and would hate you to miss out. We're all about helping you Live a Life More Virgin , so happy to talk flexible working with you. Say hello to Virgin Money We’re making great strides towards achieving our ambition of becoming the UK’s best digital bank. As a full-service digital bank with a heritage stretching back over 180 years, we’re a workforce to be reckoned with, and we're putting the full power of our experience behind disruptive ideas that reinvent the role a bank plays in people's lives. We're customer-obsessed and work tirelessly to deliver on our purpose, ‘Making You Happier About Money.’ This means we're able to do banking differently, and by innovating and working together we can make a real difference by creating memorable moments and red-hot experiences for our millions of customers. Join us and Live a Life More Virgin that empowers you with choice and flexibility in how you work. Be yourself at Virgin Money Our purpose is to make people happier about money, this means seeing and feeling the world as our customers do by creating a workforce that reflects the rich diversity of our customers and communities. We’re committed to creating an inclusive culture where colleagues feel safe and inspired to contribute, speak up and be heard. As a Disability Confident Leader, we're committed to removing any obstacles to inclusion. If you need any reasonable adjustments or support making your application, contact our Talent Acquisition team careersvirginmoney.com Now the legal bit Living A Life More Virgin allows our colleagues to be based anywhere in the UK (if the role allows it), but we'll need you to confirm you have the right to work in the UK. If you're successful in securing a role with us, there are some checks you need to complete before starting. These include credit and criminal record checks and three years' worth of satisfactory references. If the role is part of the Senior Manager Regime and Certification Regime, it requires enhanced pre-employment checks – we'll ask for six years of regulatory references, and once in the role, you'll be subject to periodic employment checks.

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.