Senior Data Science Consultant

Overview

We have a new vacancy for an experienced Senior Data Science / Analytics Consultant to join our Analytics team and support 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 analytics to improve business outcomes.

Responsibilities

- 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.

About Experian

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.

Experience and Skills

- Strong analytical modelling and consultancy experience gained in credit risk management or banking sector as a Consultant, Data Scientist or Machine Learning Engineer.
- 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 usage, 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, share‑save 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 truly 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 Affinity 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.

Grade: C/EB7

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