FREE ACCESS
5,000–10,000 jobs/day

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.
Tech Stack
Tools & technologiesPandasPythonScikit-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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningStatistical ModelingFeature EngineeringImbalanced Classification TechniquesModel EvaluationSQLData Science ExecutionModel Stability MonitoringRegression AlgorithmsClassification Algorithms
Soft Skills
Delivery ExcellenceCollaboration
