EXL

Data Scientist

EXL

full-time

Posted on:

Location Type: Hybrid

Location: Gurugram • India

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Job Level

SeniorLead

Tech Stack

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

  • Develop and deploy fraud detection models for insurance claims using statistical and machine learning techniques
  • Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing to identify fraud patterns and anomalies
  • Build, evaluate, and optimize traditional statistical models as well as tree‑based models such as Random Forest, XGBoost, CatBoost, LightGBM etc.
  • Independently conduct data analysis, research, and model experimentation, and translate findings into actionable insights
  • Write clean, efficient, and production‑ready code using Python and SQL
  • Work extensively with large datasets using cloud platforms, primarily Google Cloud Platform (GCP)
  • Query and manage data using BigQuery, and handle datasets stored in Cloud Storage (Buckets)
  • Use Git for version control, collaboration, and code review
  • Prepare clear, concise, and impactful presentations for clients, explaining analytical findings to both technical and non‑technical stakeholders
  • Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives

Requirements

  • 7-8 years of hands‑on experience in data science, analytics, or applied machine learning
  • Strong understanding of statistical modeling, probability concepts and hypothesis testing
  • Proven experience with tree‑based and ensemble machine learning models (RF, XGBoost, CatBoost, LightGBM)
  • Expert‑level SQL for data extraction, transformation, and analysis
  • Strong Python skills for data analysis and modeling
  • Experience using Git for source code management
  • Solid exposure to cloud‑based analytics environments, preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
  • Ability to work independently, manage deliverables, and drive tasks end‑to‑end
  • Excellent verbal and written communication skills, essential for a client‑facing role
  • Bachelor’s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
  • Strong data analysis experience with complex, real‑world datasets
  • Superior analytical thinking and problem‑solving skills
  • Outstanding written and verbal communication skills, with confidence in client interactions
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
fraud detection modelsstatistical modelingmachine learningexploratory data analysisfeature engineeringhypothesis testingPythonSQLtree-based modelsBigQuery
Soft Skills
independent workanalytical thinkingproblem-solvingcommunication skillsclient-facing skillscollaborationpresentation skillstime managementattention to detailadaptability
Certifications
Bachelor's degreeMaster's degree