Senior Data Science Consultant - Credit Decisioning

Posted 8 Hours Ago
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London, Greater London, England
Senior level
Big Data • Marketing Tech • Analytics
The Role
As a Senior Data Science Consultant, you'll design analytical solutions for credit risk management, engage with clients to identify their needs, lead decision-making through data-driven insights, and work collaboratively with the Pre-Sales team to convert sales prospects.
Summary Generated by Built In

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 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

We have a new vacancy for an experienced Senior Data Science Consultant with coding expertise in Python or SAS to join our Analytics team, working with our cloud-based Ascend platform You will partner with clients to understand their business, identify what data is required and how clients can best use Experian data models and analytics to improve business outcomes.

Responsibilities include:

  • Design analytics solutions to client's problems in any area of consumer lending and credit risk management, using Experian analytics solutions.
  • Engage in a consultative way with the client, to identify problems and define, design and deliver analytics solutions, with expertise in credit risk modelling and optimisation techniques.
  • Present proposals to clients for analytics solutions, including recommendations.
  • Provide consultancy on the potential 'bigger picture' strategies.
  • Co-ordinate with Experian's Analytics Pre-Sales team to contribute to sales opportunities and support the conversion of sales prospects.

Qualifications

  • Data science experience with expertise in building decisioning or credit risk models using Python or SAS
  • Applied modelling and analytics experience to lead business decisions
  • Expertise in credit risk decisioning.
  • Deep coding knowledge in Python with SAS or R.
  • Good stakeholder management skills.
  • Subject matter expert on the mechanics of consumer lending (risk, data usag, outcomes)
  • Knowledge of Cloud / AWS
  • Product strategy experience desirable but not essential.

Additional Information

Benefits package includes:

  • Hybrid working
  • Great compensation package
  • 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 and 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 a critical 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.

#LI-DSI #LI-Hybrid

Experian Careers - Creating a better tomorrow together

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

Top Skills

Python
R
SAS
The Company
HQ: Costa Mesa, CA
16,292 Employees
On-site Workplace
Year Founded: 1980

What We Do

Experian unlocks the power of data to create opportunities for consumers, businesses and society.

During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.

We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.

For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.

Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.


About Experian:

Bringing data to life requires creativity, passion, flexibility and expertise.

We want you to share in our success. That's why we offer rewards that recognise great performance.

Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.

Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.

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