Senior Data Scientist

Chubb; Jersey City (NJ); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Scientist to join their Global Analytics team. This role is pivotal in developing and delivering machine learning models and AI solutions that directly impact business metrics in the Claims domain. The ideal candidate will have a strong background in AI and machine learning, with proficiency in Python and SQL, and will be responsible for leading projects from conception to completion. This exciting opportunity allows for collaboration with business partners to tackle complex challenges and drive strategic decisions through data-driven insights. Join a dynamic team where your contributions can make a significant difference in the insurance landscape.

Qualifications

• 5+ years in quantitative analytics or predictive modeling.
• Extensive knowledge of machine learning algorithms and models.

Responsibilities

• Develop predictive models and algorithmic solutions using AI.
• Collaborate to gather business requirements and plan projects.

Skills

Predictive Modeling

Machine Learning

Statistical Analysis

Problem-Solving

Communication Skills

Education

Bachelor’s Degree in Computational Science

Master’s Degree in Statistical Field

Tools

Python

SQL

Job description

The Global Analytics team is seeking a Sr. Data Scientist to join our fast-paced, dynamic team responsible for developing and delivering machine learning models and AI solutions in the Claims space. Our work directly impacts our business partners and positively influences business metrics. This position offers the opportunity to leverage the entire spectrum of AI tools including transformer-based models, LLMs, and RAG-based approaches towards solving a wide variety of business problems at Chubb. The role further requires one to be proficient in managing and leading projects from conception to completion.

Responsibilities

1. Utilize an extensive understanding of AI and machine learning to develop predictive models and algorithmic solutions.
2. Build analytical solutions for complex P&C claims operations.
3. Collaborate with claims business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan project tasks and timelines.
4. Build data pipelines to create insurance-specific risk signals from external data sources.
5. Develop AI Ops processes for efficient development and deployment of models.
6. Research, recommend, and implement AI methodologies appropriate for the given risk assessment problem or analysis.
7. Mentor junior data scientists towards improving their domain knowledge, modeling capabilities, and developing problem-solving skills.
8. Lead end-to-end projects using advanced data modeling and analysis techniques to discover insights that guide strategic decisions and uncover opportunities.

Qualifications

1. At least 5 years' experience in quantitative analytics or predictive modeling. P&C insurance experience is a plus.
2. Extensive knowledge and experience in developing and implementing machine learning algorithms and models.
3. Deep understanding of statistical and predictive modeling concepts, machine learning algorithms, data mining, unstructured data analytics, and its mathematics.
4. Proficiency in scripting languages: Python; database languages: SQL.
5. Proven ability to drive business results with data-based insights.
6. Strong problem-solving skills with an emphasis on product development.
7. Excellent written and verbal communication skills.

Education

1. Bachelor’s or Master’s degree in a computational science or statistical field is preferred.