---
title: 'Senior Data Scientist, Fraud Operations at Navan'
canonical: 'https://feeny.ai/job/senior-data-scientist-fraud-operations-navan-bengaluru-8djs7zmcs6dh'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Data Scientist, Fraud Operations at Navan

- **Company:** Navan
- **Location:** Bengaluru, India
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-10-20
- **Apply:** https://navan.com/careers/openings?gh_jid=8287469

## Job description

Navan is expanding its Fraud Risk Management team to build world-class fraud detection, prevention, and analytics capabilities supporting our rapidly growing travel and expense businesses. We are seeking a highly skilled and visionary Data Scientist, Fraud, to design and scale advanced data science solutions that protect Navan’s customers, platform, and financial ecosystem.

This is a strategic and hands-on role, where you’ll partner with other fraud strategy members, product, engineering, and data teams to design the ML features, build the rule workflow, build next-generation fraud models, develop actionable insights, and lead the application of AI/ML to mitigate emerging fraud threats both in expense card issuing and travel fraud. The ideal candidate combines deep technical expertise in machine learning and data systems with a strong understanding of payment, identity, and transactional fraud patterns.

Location: Bangalore, India

## What You’ll Do

- Lead the design and deployment of advanced ML features, build rule workflows to detect and prevent fraud across travel and expense.
- Lead the design and development of advanced ML and statistical models to detect, predict, and prevent fraudulent behavior across onboarding, payments, and expense workflows.
- Drive applied research in anomaly detection, network/graph modelling, real-time clustering, and link analysis to identify emerging fraud patterns and organized fraud rings.
- Partner cross-functionally with other Risk Strategy team members, Fraud operations, Engineering, and Product teams to translate insights into scalable prevention rules, thresholds, and model-driven interventions.
- Own model lifecycle management from feature engineering and experimentation to monitoring, model retraining, and post-deployment optimisation.
- Perform root-cause and loss attribution analyses, identifying vulnerabilities and quantifying financial impact to inform control effectiveness and business risk appetite.
- Sign up for the stretch fraud loss goals and the ability to drive the roadmap to meet the goal.
- Collaborate with Data Engineering and Platform teams to define data schemas, pipelines, and infrastructure that enable real-time fraud monitoring and analytics.
- Mentor junior data scientists and fraud analysts, providing technical guidance and driving excellence in experimentation, model governance, and reproducibility.
- Contribute to the overall fraud strategy roadmap, helping evolve Navan’s machine learning and analytics capabilities to stay ahead of emerging fraud trends.
- Partner with external vendors and third-party data sources to enrich detection signals and improve model precision and recall.

## What We’re Looking For

- 5+ years of experience in data science strategy, with a strong focus on fraud detection, risk modeling, or financial crime analytics.
- Master’s (must-have) or PhD (preferred) in Computer Science, Statistics, Applied Mathematics, or related quantitative field.
- Deep technical expertise in machine learning, predictive modelling, anomaly detection, and network analysis applied to fraud problems.
- Proficiency in Python, SQL, and modern ML libraries.
- Experience with large-scale data environments such as Snowflake, Databricks, Spark, or equivalent big data platforms.
- Strong understanding of payment processing, card networks, identity verification, and behavioural fraud typologies (e.g., synthetic identities, ATO, friendly fraud, first-party fraud, third-party fraud, scams). Demonstrated success in developing and deploying ML models in production, including monitoring and score drift management.
- Familiarity with fraud detection tools, rule engines, and streaming data systems is a plus.
- Proven ability to communicate complex data science findings to technical and non-technical audiences, including executives.
- Experience collaborating in cross-functional teams that include Product, Engineering, and Fraud Operations.

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

- Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email [here](https://my.metaview.app/applications/opt-out?organization=15dd7e883f). Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our[Candidate Privacy Notice](https://navan.com/candidate-privacy-notice) for more information about our processing of personal data, and your rights.

## About Navan

## Company Overview
- **One-liner**: Navan is the leading all-in-one, AI-powered business travel, payments, and expense management platform that makes corporate travel effortless for frequent travelers while giving finance teams full control.
- **Entity Type**: Public (ticker: **NAVN**, listed on Nasdaq Global Select Market in October 2025)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2015
- **Founders**: Ariel Cohen and Ilan Twig

## Core Business
- **Primary industry/industries**: Corporate travel management, expense management, travel technology, payments.
- **Target customers**: B2B – mid-market to enterprise companies; also SMBs.
- **Mission or purpose statement**: "Make travel easy for every traveler by being the best travel agency on the planet."

## Products & Services
- **Navan Travel**: AI-powered booking platform for flights, hotels, and ground transportation with extensive inventory access (including NDC content from 17+ airlines).
- **Navan Expense**: Automated expense management that categorizes and reconciles receipts, with real-time policy enforcement and integration with ERPs.
- **Navan Edge**: AI travel assistant (chat-based) that handles bookings and provides 24/7 human support.
- **Navan Rewards**: Incentive program that rewards employees for booking below budget.
- **Navan Connect (BYOC)**: Card-link technology that connects corporate cards from 250+ banks, enabling unified spend visibility.
- **Navan Corporate Cards**: Physical and virtual cards for payments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available in search results (post-IPO, real-time market cap available on exchanges).
- **Key Metric**: **Total Headcount** ~3,300 employees (as of 2026); **Number of customers** – thousands, including major enterprises like Heineken, Unilever, Wayfair, and Zoom.
- **Notable Investors/Partners**: Not listed in provided sources, but strategic partners include Amadeus (dual-GDS model) and major airlines via NDC.
- **Growth Signals**: Went public in October 2025; expanded globally through acquisitions of Comtravo (Germany), Resia (France), Tripeur (India), and Reed & MacKay (Europe); now operates 50 offices worldwide; first TMC to integrate AI across the entire platform.

## Competitive Advantages
- **AI-first platform**: First travel management company to embed AI across search, booking, expense reconciliation, and customer service.
- **All-in-one T&E**: Combines travel, expense, and payments in a single system, eliminating the need for multiple vendors.
- **Dual-GDS model**: Integrated with both Sabre and Amadeus, providing global coverage and competitive pricing.
- **NDC leader**: Offers access to 17 airlines’ New Distribution Capability content for better fares and inventory.

## Strategic Focus
- Continue leading in AI-powered travel and expense innovation.
- Expand corporate card and payments ecosystem (Navan Connect, external card linking).
- Deepen enterprise capabilities and global footprint (targeting mid-market and large multinationals).
- Drive user adoption through employee rewards and seamless mobile experience.

## Why Work Here
- **Work model**: Hybrid – 4 days per week in office (Palo Alto HQ and other global offices). Strong emphasis on in-person collaboration.
- **Culture**: Meritocratic, high-ownership, “high-talent density” environment. Values include extreme ownership, bias to action, “AI-first mindset”, and “seriously fun”.
- **Perks & Benefits**:
  - Flexible vacation (take time off as needed, manager coordination).
  - Paid parental leave (16 weeks birthing parent, 10 weeks non-birthing).
  - 401k, Employee Stock Purchase Plan (ESPP) with discount.
  - Medical, dental, vision, pet insurance.
  - Commuter benefits, in-office snacks and lunches, dog-friendly offices.
  - Headspace mental health subscription.
  - Navan personal travel discounts (employee leisure bookings at corporate rates).
  - Connectivity allowance (bi-weekly stipend for remote work).
- **Growth opportunities**: Rapidly scaling public company; teams across engineering, product, data science, travel operations, and R&D.

## Sources
1. [navan.com](https://navan.com/ – Product overview, platform details)
2. [navan.com/about](https://navan.com/about – Company history, mission, timeline, IPO)
3. [navan.com/careers](https://navan.com/careers – Culture, values, benefits, work model)
4. [builtin.com](https://builtin.com/company/navan – Headcount, offices, hybrid policy, perks)

## Other roles at Navan

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- [Scaled Account Manager](https://feeny.ai/job/scaled-account-manager-navan-berlin-w0w9060wzebf) — Berlin, Germany
- [Staff Full Stack Engineer](https://feeny.ai/job/staff-full-stack-engineer-navan-tel-aviv-q9g0qrwd7p2v) — Tel Aviv, Israel
- [Launch Manager, Navan Premier](https://feeny.ai/job/launch-manager-navan-premier-navan-san-francisco-vvjf2jsxemmn) — San Francisco, CA
- [Launch Manager, Navan Premier](https://feeny.ai/job/launch-manager-navan-premier-navan-new-york-vc5q09brnc6m) — New York, NY
- [Travel & Expense Analyst](https://feeny.ai/job/travel-expense-analyst-navan-london-cnkfkr4m48hn) — London, United Kingdom
- [Senior Fraud QA and Enablement Analyst](https://feeny.ai/job/senior-fraud-qa-and-enablement-analyst-navan-bengaluru-c36rt51bavys) — Bengaluru, India
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