Risk Analyst – Data Science & Analytics

Experian is hiring a Risk Analyst – Data Science & Analytics in Mumbai, India. Level rates it ; you can apply on Experian.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions Databricks, Python and SQL among its tools and skills.
Level classes it as a mid-level role.
Experian has 390 other open roles on Level.
Posted in the last few days.

AI in this role

Build and enhance machine learning models and data-driven products across the model development lifecycle.

databrickspythonsql

machine-learningdata-sciencestatistical-modelingfeature-engineering

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 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.

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How we rate this

Risk Analyst – Data Science & Analytics at Experian rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Risk Analyst – Data Science & Analytics is an open job at Experian.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Mumbai, India.
The job was posted on October 30, 2026.
Seniority: mid.
Applications are handled by Experian. Apply on Experian

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningData ScienceStatistical ModelingFeature EngineeringDatabricksPythonSQL

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?
Tell me about a project where feature engineering was part of your work. What did you do?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Data Science, Statistical Modeling, Feature Engineering, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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