
10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
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.
🔥 37 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
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.
• Support the development, validation and monitoring of predictive models for credit and risk. • Perform exploratory data analysis to identify patterns, trends and opportunities for improvement. • Build queries and manipulate databases to generate insights and key metrics. • Contribute to model documentation and governance. • Collaborate with cross-functional teams to support analytical and business initiatives. • Stay up to date with new techniques and tools related to Data Science, Machine Learning and Artificial Intelligence.
• Bachelor's degree completed or near completion in Statistics, Mathematics, Engineering, Computer Science, Economics, Physics or related fields. • Knowledge of data analysis and applied statistics. • Proficiency in SQL and/or Python for data manipulation and analysis. • Analytical skills and interest in solving business problems through data. • Intermediate English for reading technical documentation and professional development. • Desired: Academic experience, internships or projects related to modeling, data analysis or financial markets. • Basic knowledge of Machine Learning and Artificial Intelligence. • Experience or interest in credit, risk or financial services. • Participation in research projects, data competitions or analytics initiatives.
• Health insurance • 401(k) with matching • Flexible working hours • Paid leave • Opportunities for professional development
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