Data Engineering Lead/Scientist

November 22

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Experian

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Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Engineer and validate consumer-level attributes from credit bureau and alternative data sources. • Apply statistical techniques to uncover insights and improve predictiveness. • Monitor attribute performance for stability, compliance, and accuracy. • Build dashboards and visualizations (Tableau) to communicate findings. • Collaborate with engineering to productionalize prototypes into scalable solutions. • Partner with product, risk, and business teams to maximize impact across marketing, risk assessment, and collections. • Engage with clients to explain analytics and translate technical results into applicable business insights.

🎯 Requirements

• Master's degree in a quantitative field (Statistics, Data Science, Economics, Computer Science). • 5+ years in data science or advanced analytics within credit or financial services. • Strong Python and SQL skills; experience with Tableau or similar BI tools. • Experience with credit bureau and alternative data. • Experience designing and deploying consumer attributes for production. • Preferred Client-facing experience in analytics or credit risk. • Familiarity with AWS or other cloud platforms. • Knowledge of regulatory compliance and data privacy in credit contexts.

🏖️ Benefits

• Flexible Time Off: 20 Days