Related skills
r python data science llm knowledge graph📋 Description
- Design and build data knowledge graphs and ontological models for actuarial processes.
- Apply actuarial concepts, statistics, and programming to end-to-end models.
- Collaborate with senior data scientists and engineers on scalable frameworks.
- Analyze insurance data to improve modeling accuracy and efficiency.
- Contribute to documentation and model governance for clarity and auditability.
- Pursue actuarial credentials and exams.
🎯 Requirements
- 1-3 years of actuarial/data science experience in insurance or finance.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, CS, or related field.
- Proficiency in Python or R for data analysis and modeling.
- Knowledge of ontologies and knowledge graphs; data modeling.
- Strong communication of actuarial concepts to technical and non-technical stakeholders.
- Analytical thinking and problem-solving skills.
🎁 Benefits
- Medical, dental, and vision insurance.
- 401(k) plan.
- Tuition reimbursement.
- Career growth and promotion opportunities.
- Collaborative, diverse, and inclusive culture.
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