Data Scientist role focused on building parametric insurance models using Python, machine learning, and cloud analytics to assess corporate and climate risks.
About the role
Key Responsibilities
Develop and deploy predictive models for parametric insurance products using Python and machine learning frameworks.
Extract, clean, and transform large datasets from diverse sources, ensuring data quality and integrity.
Collaborate with actuarial and risk teams to translate business requirements into analytical solutions.
Implement scalable data pipelines on AWS, leveraging services such as S3, Redshift, and Glue.
Communicate findings through visualizations and reports to stakeholders, driving data‑driven decision making.
Requirements
Strong programming skills in Python with experience in libraries like pandas, scikit‑learn, and TensorFlow.
Proven track record in statistical modeling and machine learning for insurance or finance.
Experience with SQL and relational databases.
Hands‑on knowledge of AWS services for data engineering and model deployment.
Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.