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Insurance Computer Science Jobs in Canton, MA (NOW HIRING)

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA · On-site

$106K - $132K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any ... Full health insurance benefits are available on day one * Life and disability insurance * Earn up ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA

$120K - $135K/yr

Graduate degree in Data Science, Computer Science, Statistics, or a related field * Minimum ... Lutron's employee benefits include 401k match, health, dental, and life insurance, paid vacation ...

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ ...

Chewy

Senior Data Scientist

Boston, MA

$109K - $190K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

Gradient AI

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an ... D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 1-2 ...

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All JobsInsurance Computer Science JobsInsurance Computer Science Jobs in Canton, MA

Insurance Computer Science information

What is the difference between Insurance Computer Science vs Insurance Underwriter?

AspectInsurance Computer ScienceInsurance Underwriter
Required CredentialsDegree in Computer Science, Data Analysis certificationsDegree in Business, Finance, or Risk Management
Work EnvironmentTech-focused, data-driven, often in offices or remoteOffice setting, assessing risks, interacting with clients and agents
Employer & Industry UsageInsurance companies, tech firms, insurtech startupsInsurance carriers, brokerage firms, underwriting agencies
Common Search & ComparisonInsurance Computer Science vs Insurance Underwriter

Insurance Computer Science professionals focus on developing and managing insurance-related software, data analysis, and technology solutions. In contrast, Insurance Underwriters evaluate risks and determine policy terms. Both roles are vital in the insurance industry but differ in skills, work environment, and daily responsibilities.

What is insurance computer science?

Insurance Computer Science is a specialized field that focuses on applying computer science principles, such as programming, data analysis, and systems development, to the insurance industry. Professionals in this area develop software applications, analyze large datasets, and create algorithms to streamline insurance processes like underwriting, claims management, and risk assessment. Their work helps insurance companies improve efficiency, reduce fraud, and deliver better customer experiences through technology. As digital transformation continues, the demand for computer science experts in insurance is growing rapidly.

What are some common challenges faced by computer science professionals working in the insurance industry?

Computer science professionals in the insurance industry often navigate challenges such as integrating legacy systems with modern technologies, ensuring data security for sensitive customer information, and adapting to frequent regulatory changes. Additionally, they may need to collaborate closely with actuaries, underwriters, and business analysts to develop and maintain robust software solutions that support underwriting, claims processing, and risk analysis. The fast pace of technological advancements in areas like AI, machine learning, and data analytics also requires continuous learning and adaptation.

What are the key skills and qualifications needed to thrive as an insurance computer science professional, and why are they important?

To thrive as an Insurance Computer Science professional, you need a strong background in computer science principles, data analysis, and a solid understanding of insurance industry processes, typically supported by a relevant degree. Familiarity with programming languages (such as Python, Java, or SQL), data analytics tools, and insurance software systems is highly valued, and certifications like CPCU or relevant IT credentials can enhance your profile. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with technical and non-technical stakeholders. These skills ensure the creation of robust technology solutions that optimize insurance operations and support sound business decisions.
What cities near Canton, MA are hiring for Insurance Computer Science jobs? Cities near Canton, MA with the most Insurance Computer Science job openings:
Insurance Computer Science jobs near you
Infographic showing various Insurance Computer Science job openings in Canton, MA as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Electrical Engineering & Computer Science Patent Agent - Boston

Direct Counsel

Boston, MA • On-site, Remote

$140K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Direct Counsel is partnered with an AmLaw 100 firm seeking mid-level patent agents to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This position is open to all offices with emphasis on Atlanta, Denver, San Francisco, Seattle, St. Louis, Washington, DC, Houston, Kansas City, or Phoenix offices. Interested candidates must possess a high level of academic achievement, solid law firm, engineering, or industry experience, and superb writing and communication skills.

Responsibilities:

  • Prepare and prosecute patent applications in electrical engineering and software-related technologies

  • Conduct patentability searches and analysis

  • Draft responses to USPTO office actions

  • Collaborate with attorneys and clients to develop patent strategies

  • Review and analyze technical disclosures

Qualifications:

  • 2+ years of relevant patent preparation and prosecution experience

  • Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics

  • Admission to the USPTO required

  • Excellent writing, communication, and analytical skills

  • Experience in data science, AI, networking technologies (including network security), machine learning, and hardware security is highly preferred

Compensation:

  • Salary range: $110,000 - $190,000 depending on experience

  • Discretionary performance-based bonus may be available

  • Eligible for firm benefits including: medical insurance, dental insurance, life insurance, disability insurance, voluntary vision insurance, 401(k) plan, and paid time off

Application Requirements:
Please submit a cover letter, resume, undergraduate transcript (and graduate when applicable), and writing sample (preferred patent application).