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

Job Description

Job description

We are looking for Lead Data Scientist to join our growing Costa Rica-based Analytics Team, established in 2007, as we are expanding our portfolio to support our North America Business.

As a Lead Data Scientist you will develop and validate analytical solutions for diverse clients – this includes ad hoc data analysis and development of statistical models for predicting and managing the behavior of consumers. You will present results and business analysis to senior partners (both internal and external) and support more junior team members in their daily activities. You will report to the Analytics Consulting Director.

What you will do:

• Data extraction and data processing
• Manage credit risk models, including application, behavioral, and collection scoring models
• Evaluate the performance of the trained models and presentation of the results to partners
• Produce ad-hoc analysis on the available datasets or developed models
• Work on proof-of-concept projects to support client needs
• Oversee the daily work of more junior team members
• Identify opportunities for automation and follow them through internally within the team and towards external partners
• Experience in the lending or banking industry.

Qualifications

Qualifications

• A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics
• 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, scikit-learn)
• Understanding of how and when to apply analytical approaches including regression analysis and machine learning
• Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
• Good at spotting problems and quickly proposing solutions
• Fluency in English

Additional Information

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.

Employee Status: RegularRole Type: HybridDepartment: AnalyticsSchedule: Full Time

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