Lead Data Scientist – Credit Risk

Company Description

Location: London or Nottingham – Hybrid

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 operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

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 Data Science Team is responsible in supporting analytic and generative AI products for decisioning, analytics, and Fraud and ID globally. The team accelerates the use of Experian products, demos new solutions to clients, provides clients a clear understanding on how the products are deployed on our platform.

As a Lead Data Scientist, you will use your coding expertise in Python and interest in Gen AI to become a specialist for Experian products.

Main Responsibilities:

• Collaborate with Engineering and data science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI application on a true big data platform.
• Partner with Leaders, Sales Engineers, Account Executives, and Product Managers to bring new innovated solutions to market that provide impact to Experian’s broad customer base.
• Stay informed about regulatory changes and technological advancements to ensure the technology stack meets all compliance requirements.
• Research and integrate new data assets from different resources into Experian’s ML and AI platform. Assess analytic tools developed internally and externally.
• Gather feedback from internal and external customers 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
• Experience developing models in credit risk or credit decisioning
• Experience building of analytical tools in a regulatory environment
• A track record for managing complex analytical projects
• The ability to present to all levels of management within Experian and to our 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.

Internal Grade: C

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