About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Insurance.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This R&D role will help design, build, test, and deploy artificial intelligence algorithms that automate core insurance functions such as underwriting, pricing, and premium audit. You will write production-quality Python code, collaborate with business and data teams, and iterate on models using internal and third-party data.

• Develop, test, and update AI and machine learning algorithms in Python
• Write clean, scalable, and well-tested code using the current technology stack
• Apply Property & Casualty insurance domain knowledge to risk-based models
• Participate in design, research, and technical discussions with cross-functional teams
• Integrate third-party data and services into model workflows
• Deploy, monitor, debug, and refactor algorithms in production
• Deliver solutions following Confidential Client engineering and quality standards

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Qualifications

Required (minimums to be considered):

• 2 years of professional work experience
• 2 years of programming experience OR 2 years of Commercial Property & Casualty insurance experience
• Demonstrable Python programming ability and experience building reliable code
• Strong communication, collaboration, and attention to detail
• Ability to test, document, and deploy models and related software

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Preferred Qualifications

Preferred, but not required:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Practical working knowledge of Microsoft Azure services and cloud-based ML tooling
• Strong design, debugging, and problem-solving skills
• Familiarity with software architecture, design patterns, and agile methodologies
• Experience building or deploying production ML models (training, validation, monitoring)

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Work Location & Schedule

This is a full-time, hybrid position with a requirement to be in-office at the Stamford, CT location at least two days per week. Candidates must be authorized to work in the United States.

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Compensation & Benefits

In accordance with pay transparency requirements, the good faith salary range for this role is $80,000 - $130,000 per year. Final pay will be based on candidate qualifications, geographic location, and applicable law.

Benefits highlights offered by our client:

• Medical, vision, and disability coverage
• Dental plans (including enhanced options)
• Generous PTO, paid company holidays, and floating holidays
• Paid parental leave
• 401(k) / retirement savings plan with company match and immediate vesting
• Education assistance / tuition reimbursement programs
• Wellness initiatives and employee discounts
• Voluntary accident, critical illness, and hospital indemnity options

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About Confidential Client

Our client is a financially strong company in the Insurance industry focused on simplifying how small businesses buy commercial insurance. The R&D team builds data-driven and automated solutions to improve customer experience and operational efficiency across underwriting, pricing, and audit workflows.

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Legal & Hiring Notes

Careertakes supports a fair hiring process and ensures compliance with applicable federal, state, and local employment laws. Reasonable accommodations are available for applicants with disabilities; if you need an accommodation at any stage of the hiring process, please let us know.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.