Geodata Scientist at ALS analyzing geoscience data and applying machine learning for mineral exploration. Collaborating with multidisciplinary teams on predictive modelling and consulting projects.
About the role
- Senior Data Scientist leading advanced analytics and machine learning solutions within insurance practice. Bridging business objectives and data science execution while ensuring delivery quality.
Responsibilities
- 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
- 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
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
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