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

Apply Now

Associate Risk Data Scientist

Clydesdale Bank plc
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director

Data Scientist Senior Associate - AI

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. Advertised: 15 Oct 2024 GMT Daylight Time Applications close: 05 Nov 2024 GMT Standard Time

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.