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Experian Health in Mumbai seeks a Data Modeler to unlock vast data through advanced analytics and machine learning. You'll deliver high-quality analytical services, ensuring client timelines are met while engaging technical teams for solution alignment.
Suitable candidates will have 3 to 4 years of core analytics experience, especially in handling big data and generating insights via Python or similar tools. Join a globally recognized team dedicated to inclusivity and innovation.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
We are looking for a Data Modeler to help us unlock our vast amounts of data with modelling and advanced analytics, allowing us to make smarter decisions and deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems and automated scores using machine learning, integrated with our products. You will also support our business teams, pre‑sales and analytics to ensure product creation.
Suited to someone who has 3 to 4 years' experience in a core analytics function of a large bank or consulting firm and with experience handling large data volumes using data analysis tools and generating good data insights.
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.