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Lead Data Scientist - Credit Risk

TN United Kingdom

London

Hybrid

GBP 60,000 - 100,000

Full time

15 days ago

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Job summary

An established industry player is seeking a Lead Data Scientist to join their innovative team in London. This role involves leveraging your coding expertise in Python and your passion for generative AI to enhance decision-making and analytics across a global scale. You will collaborate with engineering and data science teams to design and implement machine learning solutions while ensuring compliance with regulatory standards. Join a company that values diversity, innovation, and work-life balance, and make a significant impact on the future of data analytics in the credit risk sector.

Benefits

Hybrid working
Great compensation package
Discretionary bonus plan
Pension
Bupa healthcare
Sharesave scheme
25 days annual leave
3 volunteering days

Qualifications

  • Strong background in data science with Python development expertise.
  • Experience in credit risk modeling and regulatory environments.

Responsibilities

  • Collaborate on ML and AI applications in a big data environment.
  • Research and integrate new data assets into the ML platform.

Skills

Python
Data Science
Machine Learning
Analytical Skills
Project Management

Education

Degree in Data Science or related field

Tools

Big Data Platforms
Analytic Tools

Job description

Social network you want to login/join with:

Lead Data Scientist - Credit Risk, London
Client:

Experian

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9a5a57d9e078

Job Views:

3

Posted:

13.04.2025

Expiry Date:

28.05.2025

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.

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 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.

Grade: C / EB7

#LI-DS1 #LI-Hybrid

Experian Careers - Creating a better tomorrow together

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