Lead Data Scientist

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 realize 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

Experian is looking for a Lead Data Scientist with credit bureau data and programming skills to join their Analytic Consulting group.   In this role you will collaborate with team members in delivering best in class consulting and strategy innovation via data-driven exploratory analysis.  The candidate is required to use advanced programming and analytical skills to solve a variety of complex business problems across multiple industries and through all phases of the US consumer credit lifecycle (prospecting, acquisition, portfolio management, and collections).

Key Responsibilities:

• Leverage your analytical skills and experience to evaluate, understand and interpret credit bureau data.
• Optimize existing code and develop new algorithms to improve the processing time of analysis in a true Big Data environment.
• Serve as internal SME in Python and Spark coding on a Big Data platform for an analytic consulting team.
• Communicate with and deliver presentations to end users on model deployment and monitoring results.
• Produce testing to support the implementation of machine learning models into a production.
• Aid in analytical support for high profile modeling, analytical and machine learning engagements and initiatives.
• Support the development of new analytical and data products and services to support business objectives.
• Collect business requirements and make recommendations on machine learning based solutions.

Qualifications

• Degree preferably in Statistics, Mathematics or Computer Science
• 3+ years related experience preferably in Financial Services
• Strong knowledge of statistical analysis software / data analysis experience including modeling and experience in Python and Spark
• Proven track record for leading and executing complex analytical projects and new product development from concept to final delivery.
• Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience.
• Excellent communication, organization, interpersonal and presentation skills.

Additional Information

This is a permanent remote home-based role in Costa Rica. No relocation available.

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

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, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 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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