Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
EXL

Senior Data Scientist

EXL

Senior Data Scientist leading advanced analytics and machine learning solutions within insurance practice. Bridging business objectives and data science execution while ensuring delivery quality.

Posted 7/8/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in delivering advanced analytics and machine learning solutions within the insurance domain, with a strong focus on model development, technical design, and quality delivery. Proficient in statistical modeling, feature engineering, and working with large-scale datasets to drive business objectives.

Highest-signal resume keywords
Advanced AnalyticsMachine Learning SolutionsPython ProgrammingStatistical ModelingInsurance Domain Experience

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

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

Hard Skills
Machine LearningStatistical ModelingFeature EngineeringImbalanced Classification TechniquesModel EvaluationSQLData Science ExecutionModel Stability MonitoringRegression AlgorithmsClassification Algorithms
Soft Skills
Delivery ExcellenceCollaboration
Tools & Technologies
PandasScikit-LearnXGBoostLightGBM
Industry Keywords
InsuranceP&CLifeHealthGroup BenefitsClaims

Tech Stack

Tools & technologies
PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • Lead delivery of advanced analytics and machine learning solutions for a large-scale transformation program within insurance practice.
  • Bridge business objectives, data science execution, and delivery excellence.
  • Remain deeply involved in model development and technical design.
  • Coordinate with offshore team to ensure delivery quality.

Requirements

What you’ll need
  • 5 – 8 years of experience in advanced analytics / data science
  • Insurance domain experience (P&C, Life, Health, Group Benefits, or Claims) strongly preferred.
  • Proven experience delivering end-to-end ML solutions in production environments
  • Strong hands-on experience in Python (pandas, scikit-learn, XGBoost / LightGBM, etc.)
  • Statistical modeling and ML algorithms (classification, regression, segmentation)
  • Deep understanding of feature engineering on transactional / behavioral data
  • Imbalanced classification techniques
  • Model evaluation, stability, and drift monitoring
  • Experience working with SQL and large-scale datasets

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development