Data Scientist

We are looking for a highly skilled and impact-driven Data Scientist to join our team. In this role, you will take ownership of developing and optimizing AI-driven solutions, designing and deploying advanced ML models, and translating complex data into strategic business value for life insurance companies.

What You'll Do:

• Lead the full lifecycle of AI/ML models: research, design, experimentation, deployment, and monitoring.
• Develop predictive analytics models for churn prediction, forecasting, segmentation, risk assessment, and pricing optimization.
• Establish and implement data science best practices, ensuring model scalability, accuracy, and efficiency.
• Work closely with product managers, engineers, and business stakeholders to align AI insights with business objectives.
• Apply advanced analytics, causal inference, experimentation, and predictive modeling to create measurable business impact.
• Present key findings and research to executives, clients, and internal teams, simplifying complex insights into actionable strategies.
   

We're Looking For:

• 3+ years of hands-on experience in Machine Learning and Data Science, with a proven track record of deploying production-level models.
• BSc/MSc/PhD in Computer Science, Mathematics, Statistics, Physics, or a related field.
• Strong proficiency in Python, SQL, and cloud-based ML pipelines (AWS, GCP, or Azure).
• Expertise in time series forecasting, clustering, classification, and predictive modeling.
• Experience working with large-scale datasets, data pipelines, feature engineering, and model optimization.
• Ability to bridge the gap between data science and business, translating insights into real-world impact.
• Proven ability to take ownership of projects, drive initiatives, and deliver results.

• Strong communication skills, with the ability to present technical findings to both technical and non-technical audiences.

   

Bonus Points For:

• Experience in Insurance, Fintech, or Risk Modeling.
• Knowledge of AWS services, airflow, fargate
• Familiarity with deep learning, reinforcement learning, or generative AI.
• Hands-on experience with MLOps and cloud-based machine learning deployment.
   

This is a high-impact, strategic role where you’ll drive AI innovation and shape the future of data-driven decision-making in the insurance industry. If you're passionate about leveraging AI to transform an industry, we'd love to hear from you!