Data Scientist - Life Insurance

Selby Jennings; New York (NY); On-site; USD 200,000 - 240,000; Full time

Job summary

A leading financial services organization is seeking a Lead Data Scientist to head its Data Science Lab focused on AI and machine learning innovation. In this high-impact role, you will drive strategic initiatives, lead a team, and collaborate with stakeholders to create data-driven solutions that transform business operations.

Qualifications

• 6-10+ years of experience in AI/ML solutions.
• Deep expertise in machine learning, NLP, and deep learning frameworks.
• Experience with LLMs and generative AI.

Responsibilities

• Lead the strategic roadmap for the Data Science Lab.
• Manage and mentor a high-performing team of data scientists.
• Identify and evaluate emerging AI/ML technologies.

Skills

Machine Learning

Natural Language Processing (NLP)

Deep Learning

Programming in Python

Stakeholder Management

Education

Advanced degree (PhD/MS/BS) in Computer Science, Engineering, Applied Mathematics

Tools

PyTorch

TensorFlow

Job description

This range is provided by Selby Jennings. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $240,000.00/yr

Direct message the job poster from Selby Jennings

Senior Vice President - Market Specialist at Selby Jennings

A leading financial services organization is seeking a Lead Data Scientist to head its Data Science Lab (DSL)-a strategic innovation unit focused on applying cutting-edge AI and machine learning to transform the business. This is a high-impact leadership role for someone who thrives at the intersection of advanced analytics, emerging technology, and enterprise strategy. This role has offices in NY, MA, NJ and PA.

About the Role

A leading financial services organization is seeking a Lead Data Scientist to head its Data Science Lab (DSL)-a strategic innovation unit focused on applying cutting-edge AI and machine learning to transform the business. This is a high-impact leadership role for someone who thrives at the intersection of advanced analytics, emerging technology, and enterprise strategy. This role has offices in NY, MA, NJ and PA.

About the Role

The Lead Data Scientist will set the vision and direction for the DSL, driving the development and deployment of AI/ML solutions that enhance underwriting, claims processing, customer experience, and risk management. This individual will lead a team of data scientists, collaborate with senior executives, and work cross-functionally to translate complex business challenges into scalable, data-driven solutions.

Key Responsibilities

• Lead the DSL's strategic roadmap, ensuring alignment with enterprise goals and digital transformation initiatives.
• Manage and mentor a high-performing team of data scientists, fostering a culture of innovation and continuous learning.
• Identify and evaluate emerging AI/ML technologies, including deep learning, LLMs, and generative AI.
• Design and implement AI solutions using unstructured data sources such as contracts, medical records, and customer interactions.
• Establish best practices for responsible AI development, model governance, and lifecycle management.
• Collaborate with business, product, and engineering teams to deliver high-impact, production-ready solutions.
• Represent the data science function in executive meetings, vendor discussions, and industry forums.
  
  

Qualifications

• Advanced degree (PhD/MS/BS) in Computer Science, Engineering, Applied Mathematics, or a related field with 6-10+ years of experience.
• Deep expertise in machine learning, NLP, and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with LLMs, generative AI, and GPU-accelerated computing.
• Proven track record of leading data science teams and delivering enterprise-scale AI solutions.
• Strong programming skills in Python and familiarity with distributed computing environments.
• Excellent communication and stakeholder management skills.

This is a unique opportunity to lead a forward-thinking data science team and shape the future of AI innovation in a mission-driven organization.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science

• Industries

  Insurance

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