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Data Science

EXL • Business Process Outsourcing (BPO) • AI Consulting & Integration • Master's Degree • Python • SAS • 11 months ago

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Salary

≈ $16k – $39k per year (Estimated)

Location

In office (Gurgaon)

Seniority

Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Nov 28, 2025. EXL scores B on the Alion truth index.

Overview

Company

Impact

Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

exlservice.com • HQ: New York, United States • AI Consulting & Integration • Analytics & BI Consulting • Business Process Outsourcing (BPO) • 5000+ employees • Est. 1999

Tech stack of EXL

Marketing Analytics Domain Understanding:
- Understanding of P&C insurance marketing/ Campaign working understanding
- Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
- Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
- Generate campaign and project performance reports with ability to understand marketing concept
Data Analytics:
- Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
- Review and analyze complex data aggregations
- Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
ML techniques:
- Knowledge of Modelling based on large set of variables from varied sources
- Understanding and working knowledge of statistical and Machine learning techniques

Marketing Analytics Domain Understanding:
- Understanding of P&C insurance marketing/ Campaign working understanding
- Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
- Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
- Generate campaign and project performance reports with ability to understand marketing concept
Data Analytics:
- Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
- Review and analyze complex data aggregations
- Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
ML techniques:
- Knowledge of Modelling based on large set of variables from varied sources
- Understanding and working knowledge of statistical and Machine learning techniques

Education: Master’s in Statistics/Economics/MBA, Engineering
Experience: 3-5 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.

Technical Skills: Python for data analytics and modeling, Machine Learning Techniques

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