Company Description
Experian is a global data and technology company that empowers people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in new advanced technologies to unleash the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, which is people-centered, inclusive and purpose-driven, is recognized by various awards, including World's Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian also takes pride in being an employer that promotes equal opportunities and affirmative action.
Job Description
- Develop and evolve predictive models for payment propensity, offer recommendation and discount pricing, using behavioral, financial and historical negotiation data.
- Conduct experiments and A/B tests to validate hypotheses related to the product, customer journey, communication and offer strategies.
- Build and improve data pipelines and feature engineering in partnership with the Data Engineering teams.
- Apply analytical and machine learning techniques to generate insights that drive product performance and business results.
- Translate complex analyses and results into clear, actionable recommendations for the Product, Growth and Risk areas.
- Monitor and track key product metrics, identifying opportunities for optimization and growth.
- Work collaboratively with cross-functional squads, contributing to data-driven and evidence-based decisions.
- Ensure the quality and reliability of the data used in models and analyses, supporting the continuous evolution of business strategies and solutions.
Qualifications
- Experience in Growth, Product, Data Science or analytical areas.
- Strong data orientation, analytical thinking and ability to turn information into business insights.
- Solid knowledge of SQL for data extraction, processing and analysis.
- Experience with visualization and Business Intelligence tools, such as Power BI, Tableau or similar.
- Hands-on experience conducting and interpreting A/B tests and experimentation initiatives.
- Knowledge of business metrics, conversion funnels and performance indicators.
- Higher education in Statistics, Computer Science, Engineering, Economics or related areas.
- Experience with Python for data analysis, statistical modeling and development of analytical solutions.
- Knowledge of Machine Learning techniques, including regression, decision trees and boosting algorithms.
- Ability to communicate complex analyses and results clearly to both technical and non-technical audiences.
- Familiarity with cloud environments such as AWS, GCP or Azure.
- Prior experience with credit products, collections, credit recovery or credit scoring will be considered a differentiator.
Additional Information
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here