Mu Sigma

AI for Financial Services Intern

InternshipIn OfficeKota, Rajasthan4 months29K/mo4 openingsImmediate / Rolling

About this internship

Start your career in AI in banking and financial services with Mu Sigma as an AI for Financial Services Intern in Kota. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As an AI for Financial Services Intern at…

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Skills you'll use

PythonMachine LearningFraud & Anomaly DetectionCredit Risk BasicsSQLModel Explainability (SHAP)Regulatory AwarenessFeature EngineeringModel ValidationBusiness Communication

What you'll do

Work on applying AI to fraud, credit and customer problems where a wrong answer costs money alongside the core team
Apply Python, Machine Learning, Fraud & Anomaly Detection, Credit Risk Basics to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech, MCA, M.Sc (Statistics / Data Science) or MBA (Finance / Analytics)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Python, Machine Learning, Fraud & Anomaly Detection (or a genuine willingness to learn them)
Exposure to Credit Risk Basics, SQL, Model Explainability (SHAP) is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Kota, Rajasthan or willing to work from there for the internship period

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical interview on fundamentals and your projects
3Practical assignment or case study with a short walkthrough
4HR discussion — stipend, start date, expectations and offer

About Mu Sigma

Mu Sigma operates in the analytics consulting sector and has an active presence in Kota. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The…

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