National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Analytics Consultant - Credit Risk Decisioning

Experian
London
1 year ago
Applications closed

Related Jobs

View all jobs

Managing Consultant - Transport - Data Science

Principal Energy Consultant

Graduate / Junior Technology Consultant

Machine Learning Consultant

Data Science Consultant - Edinburgh

Machine Learning Consultant

Job Description

We have a new vacancy for an experienced Analytics Consultant to join our Analytics team and supporting with our cloud based Ascend platform The Analytics Consultant with be partnerting with clients to understand their business, identify what data is required and how clients can best leverage Experian data analytics to improve business outcomes.


Key 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 a particular expertise in credit risk modelling and/or 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

Strong analytical modelling and consultancy experienced gained in credit risk management or banking sector as a Consultant, Data Scientist or Machine Learning Engineer.​ Applied modelling and analytics experience to drive 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

Discover the Unexpected

Experian is the world’s leading global information services company. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. For more than 125 years, we’ve helped economies and communities flourish – and we’re not done.

Our 21k amazing employees in 40+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ the brightest minds that share our purpose and want to make a difference.

Our uniqueness is that we truly celebrate yours.

Experian's culture and people are key differentiators. We take our people agenda very seriously. We focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. We’re an award winning organisation due to our strong people first approach.

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, 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-DS1

Experian Careers - Creating a better tomorrow together

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

National AI Awards 2025

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.