# Risk Analyst – Data Science & Analytics at Experian

Experian is hiring a Risk Analyst – Data Science & Analytics in Mumbai, India. Level rates it Builds AI ●●●●; you can [apply on Experian](https://jobsbylevel.com/go/a88f8419-584f-4771-9ae9-fb7a00e7d9a3?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Mumbai, India.

## Details

- Company: [Experian](https://jobsbylevel.com/companies/experian)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Mumbai, India
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/a88f8419-584f-4771-9ae9-fb7a00e7d9a3?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=risk-analyst-data-science-analytics-at-experian-ca9a72

## Prepare for this job

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## Description

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 Risk Analyst – Data Science & Analytics to join our Analytics Product & Innovation team. In this hands-on role, you will leverage bureau data, advanced analytics, and machine learning to build and enhance data-driven products. You'll work across the model development lifecycle, from use-case exploration and prototyping to validation, UAT, and productisation. We're seeking a strong problem-solver with excellent analytics and coding skills who enjoys turning data into scalable solutions that deliver client impact. What you'll do Analyze large and complex bureau and financial services datasets to uncover insights, identify opportunities, and support the development of innovative analytics products. Translate business challenges and product ideas into structured analytical solutions, including prototyping, feature engineering, model development, and measurable success criteria. Develop, validate, and benchmark statistical and machine learning models, scores, segmentations, and decision-support solutions, ensuring strong predictive performance and business relevance. Build scalable and reusable analytical assets, including efficient Python/SQL code, automated workflows, and repeatable frameworks that accelerate product development. Collaborate closely with Product, Technology, and business teams to define analytical requirements, support UAT, investigate issues, and drive successful productisation of new capabilities. Clearly communicate methodologies, insights, and business value through robust documentation while adhering to data security, model governance, compliance, and best-practice analytics standards. 3+ years of experience applying data science, analytics, decision science, or statistical modelling to solve complex business problems and generate actionable insights. Strong proficiency in Python and SQL , with hands-on experience working with large datasets for data preparation, exploration, feature engineering, modelling. Solid understanding of statistics, machine learning, and model development , including regression, classification, clustering, ensemble methods, model validation, performance evaluation, and interpretability. Frame business questions as analytical problems, develop data-driven solutions, and communicate insights effectively to both technical and non-technical audiences. Commitment to building high-quality, reproducible analytics through strong coding practices, data quality assessment, documentation, testing, and validation. Experience with modern analytics tools and practices such as Git, SAS, Spark, Databricks, cloud platforms, workflow automation, model governance, and productisation is valued. Exposure to credit risk, lending, bureau, fraud, or decision analytics is beneficial but not required. Domain Note: We welcome experienced data professionals from diverse industries and analytics backgrounds. While experience in credit risk or bureau analytics is a plus, we are primarily looking for strong analytical thinkers who are passionate about data, possess excellent coding and statistical skills, and enjoy building scalable, data-driven solutions. 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

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Level. https://jobsbylevel.com/jobs/risk-analyst-data-science-analytics-at-experian-ca9a72.

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