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.
Job DescriptionWe 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.
Additional InformationOur 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.
Benefits:
- Great compensation package and discretionary bonus plan
- Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
- 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
- You will report to Senior Analytics Consultant
- Role Location: Mumbai
- Experian is an equal opportunities employer
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.
Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
#LI-Onsite
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- 3+ years of experience applying data science, analytics, decision science, or statistical modeling to complex business problems
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience working with large datasets for data preparation, exploration, feature engineering, and modeling
- Understanding of statistics, machine learning, and model development
- Knowledge of regression, classification, clustering, ensemble methods, model validation, performance evaluation, and interpretability
- Ability to frame business questions as analytical problems and develop data-driven solutions
- Ability to communicate insights effectively to technical and non-technical audiences
- Commitment to high-quality, reproducible analytics, including coding practices, data quality assessment, documentation, testing, and validation
- Experience with Git, SAS, Spark, Databricks, cloud platforms, workflow automation, model governance, or productization
- Experience in credit risk, lending, bureau analytics, fraud, or decision analytics
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
-
Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
-
Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
-
Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
