AI Software Engineer - Insurance Tech (Python)

biBerk Business Insurance; Stamford (CT); Hybrid; USD 80,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Vision & disability & life insurance

Education assistance

Job summary

biBERK, part of Berkshire Hathaway Insurance Group, is hiring for a role on the R&D team in Stamford, CT. The position focuses on building AI algorithms to replicate underwriting, pricing, and premium audit tasks.

You will write functional Python code, research solutions, and collaborate with cross-functional teams in a hybrid environment requiring two in-office days per week in Stamford. The role emphasizes communication, attention to detail, and delivering robust models using a variety of data

Qualifications

• 2 years of professional experience.
• 2 years of programming or 2 years of Commercial Property and Casualty Insurance experience.
• Bachelor’s degree in Computer Science/Engineering/Related field or equivalent working experience.
• Practical working knowledge of Microsoft Azure.
• Strong design, coding, debugging and problem-solving skills.

Responsibilities

• Develop, test, and update Artificial Intelligence algorithms in Python.
• Write clean, scalable code using our current technology stack.
• Apply Property & Casualty Insurance knowledge to the risk-based AI algorithms.
• Participate and contribute with design, research, and technical discussions.
• Develop strong partnerships with business teams and other groups.
• Demonstrate the ability to test and deploy algorithms and revise, update, debug, and refactor code.
• Deliver the required capabilities per Berkshire Hathaway standards.

Skills

Advanced Python

Education

Bachelors in CS/Engineering/Related field

Tools

Microsoft Azure

Job description

biBERK, part of Berkshire Hathaway Insurance Group, is hiring for a role on the R&D team in Stamford, CT. The position focuses on building AI algorithms to replicate underwriting, pricing, and premium audit tasks.

You will write functional Python code, research solutions, and collaborate with cross-functional teams in a hybrid environment requiring two in-office days per week in Stamford. The role emphasizes communication, attention to detail, and delivering robust models using a variety of data