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 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.

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Job Description

We have a new vacancy for an experienced Senior Data Science Consultant to join our Analytics team.

This is an exciting opportunity for a data scientist with technical coding skills in Python, who is looking to move into a client-facing role. You with partner with clients to understand their business, identify what data they require and how they can best use Experian data analytics to improve outcomes, using our cloud-based Ascend platform.

Responsibilities include:

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

Qualifications

• Strong experience in data science and analytical modelling experience required.
• Experience in credit risk management or credit risk decisioning essential
• Experience working within a client-facing or consultancy role.
• Coding experience in Python with either SAS or R.

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.

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Internal Grade: C

Experian Careers - Creating a better tomorrow together

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