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Data Scientist at Apollo finvest

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Apollo finvest

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Apollo finvest 4.3(33)

Mumbai · On-site · 1-3 Yrs · Oct 22

1 views

1 to 50 Employees · Mumbai, India

1 open role0 posted in 7d1 in 30d

Work-life balance 4.2Compensation & benefits 3.9Culture & values 4.3

Hiring: Engineering

What employees say

+ Management is helpful and understanding

− Workload can be slightly high at times

More reviews on the company profile.

Interview experience · FSD Specialist

The so - called senior is full of ego. Not willing to listen to new ideas or approaches. pathetic interviewer. was just underestimating.. proving himself correct.. not being open-minded. the interviewer was having some

Easy difficulty · India · 6 reports

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Job description

Overview

ABOUT APOLLO FINVEST

Responsibilities

Every lending decision we make starts with a model. As our Data Scientist, you will own the intelligence
behind Apollo Cash: who we lend to, how we price risk, how we spot fraud before it happens, and how
we collect responsibly. You will work side by side with the Credit and Business teams, and your models
will go live in front of real customers, at scale.
Protect the book: Partner with the Credit and Business teams to monitor and mitigate risk exposure
Build the brains of underwriting: Develop AI-powered underwriting models, risk assessment
See risk before it arrives: Design early warning systems and predictive risk models from
Unlock alternative data: Apply alternative data strategies to sharpen our business rule engines and
Raise the bar on credit decisions: Build and optimise AI-driven credit algorithms for faster, more
Ship GenAI to production: Work with LLMs, RAG and other AI tools to develop, test and deploy
Automate at scale: Use AI and machine learning to automate underwriting, collections, pricing and
Stay compliant by design: Ensure every model and product meets RBI guidelines and regulatory

Qualifications

Experience: 4+ years in AI/ML, data science, risk management or credit analytics, at an NBFC or
Modelling depth: Proven expertise in machine learning, predictive analytics and financial
Technical strength: Strong Python and SQL, with hands-on experience in AI/ML frameworks such
Engineering exposure: Experience with API integration and cloud platforms (AWS, GCP or Azure).
Credit expertise: Deep understanding of credit underwriting, credit policy drafting and credit risk
Sharp mind: Analytical, detail-obsessed and a natural problem solver.
Influence: Clear communicator who can manage stakeholders and present insights with confidence.
Ownership: Juggle multiple priorities, make the call and deliver on time.

Benefits

Real ownership: your models go live in front of real customers, not into a slide deck. You own the
Startup speed: no layers, no red tape. Ideas go from whiteboard to live fast, and you see the impact
A seat at the table: work directly with the founders, in the room where big decisions are made.
Problems that matter: live lending data at scale, where your work moves approvals, losses and
Room to grow fast: mentorship, hands-on GenAI and LLM work, and a scope that grows as we
Rewards that match impact: competitive salary and performance-based incentives.
A team that builds: collaborative, fast-moving and open to bold ideas.
Learn from the founders: work directly with Mikhil Innani, former co-founder of PharmEasy and
Best of both worlds: startup energy and speed, backed by the stability of a publicly listed company.

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Job application FAQ

Last updated 8 November 2026

How do I apply for Data Scientist at Apollo finvest?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Apollo finvest may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Data Scientist role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Data Scientist remote or on-site in Mumbai, Maharashtra?: This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
What skills matter for this Data Scientist role at Apollo finvest?: This is a mid-level Data Scientist role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.