Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Lead Data Scientist - Model Risk Management

Back on Track! Solutions
London
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Join to apply for theLead Data Scientist - Model Risk Managementrole atBack on Track! Solutions

4 days ago Be among the first 25 applicants

Join to apply for theLead Data Scientist - Model Risk Managementrole atBack on Track! Solutions

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com

Job Description

Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally.

As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success efforts.

Responsibilities

  • Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform.
  • Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market that provide impact to Experian's broad client base.
  • Lead client analytic consulting engagements with financial services clients, including pre-sales and demos, training, and client success activities to maximize client value.
  • Leverage Gen AI and model development tools to create and maintain new model document templates to help clients meet Model Risk Management regulatory requirements.
  • Stay informed about regulatory changes, technological advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements.
  • Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally.
  • Gather feedback from internal and external clients to guide new product development, feature prioritisation, and product evolution of tools and capabilities supported by the Ascend Platform.

Qualifications

  • Data science background with development expertise in Python (preferred) or SAS
  • Experience developing models and creating model documentation for Model Risk Management teams in credit or fraud risk and decisioning
  • Understand model risk management regulatory environment and governance requirements for model documentation, validation, and monitoring
  • Experience building analytical tools and providing product and analytic requirements in a regulatory environment
  • A track record for managing complex analytical technology projects
  • The ability to present to all levels of management within Experian and clients

Additional Information

Benefits Package Includes

  • Hybrid working
  • Great compensation package and discretionary bonus plan
  • Core benefits include pension, bupa healthcare, sharesave scheme and more
  • 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Grade:C / EB7

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

LNKD1_UKTJ

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionScience
  • IndustriesIT System Data Services

Referrals increase your chances of interviewing at Back on Track! Solutions by 2x

Get notified about new Lead Data Scientist jobs inLondon, England, United Kingdom.

London, England, United Kingdom 5 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 2 hours ago

London, England, United Kingdom 1 month ago

EMEA ML Practice - Sr. Data Science Manager

London, England, United Kingdom 2 weeks ago

EMEA ML Practice - Sr. Data Science Manager

Greater London, England, United Kingdom 1 month ago

Hammersmith, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 months ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Research Scientist (Quantum Chemistry and Machine Learning), London

London, England, United Kingdom 1 week ago

Band 8b - Principal Clinical Scientist, Chemical Pathology

Watford, England, United Kingdom 6 days ago

Quantitative Researcher (Machine Learning)

London, England, United Kingdom 3 months ago

East Ham, England, United Kingdom 1 week ago

Quantitative Researcher - Machine Learning

London, England, United Kingdom 6 days ago

Senior Data Analyst | Greenfield Trading House | Up to £100k + Bonus | London Hybrid 3x/week

London, England, United Kingdom 6 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.