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Insurance Computer Science Jobs in Connecticut (NOW HIRING)

Applied AI Data Scientist

Hartford, CT · On-site

$90K - $135K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Master's preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related ...

... insurance pricing models. Synthesize data to uncover inherent trends, assess impact of data on ... Graduate degrees in a technical field such as Statistics, Computer Science, Data Science ...

Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or ...

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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 other jobs can I get with a computer science degree?

With a computer science degree, you can pursue roles such as software developer, data analyst, cybersecurity analyst, systems analyst, or IT consultant. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

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 jobs pay 2000 a day?

In the field of insurance computer science, high-paying roles such as senior software engineers, data scientists, or cybersecurity specialists can earn around $2,000 per day, especially with extensive experience, specialized skills, and working for large organizations or consulting firms. These positions often require advanced technical knowledge, certifications, and the ability to handle complex systems or data security tasks.

What software is used in insurance companies?

Insurance computer science professionals typically work with software such as claims management systems, policy administration platforms, customer relationship management (CRM) tools, and data analysis software like SAS or SQL. They also use programming languages like Java, Python, or C++ for developing and maintaining insurance applications, along with specialized actuarial and underwriting software. Familiarity with enterprise resource planning (ERP) systems and data security tools is also important in this field.
What are popular job titles related to Insurance Computer Science jobs in Connecticut? For Insurance Computer Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Connecticut look for? The top searched job categories for Insurance Computer Science jobs in Connecticut are:
Applied AI Data Scientist

Applied AI Data Scientist

The Hartford

Hartford, CT • On-site

$90K - $135K/yr

Full-time

Posted 28 days ago


Key responsibilities

  • Build and optimize machine learning, deep learning, and generative AI models using modern frameworks.

  • Design and deliver retrieval-augmented generation pipelines, hybrid retrieval systems, and vector-based search workflows.

  • Develop agentic AI solutions including tool orchestration, reasoning flows, and safe execution strategies.


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

48th of 277 rated insurance


Job description

Data Scientist - GD08AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is expanding its Data Science, AI & Analytics capabilities to deliver nextgeneration AI, Generative AI, and Agentic AI solutions across underwriting, claims, risk analysis, and enterprise operations. We are seeking anAI Applied Scientistwho combines strong scientific depth with handson engineering to design, build, evaluate, and operationalize enterprisegrade AI systems.

You will collaborate with product owners, SMEs, engineers, and both onshore and offshore DS/ML teams to drive measurable business impact through innovative ML and GenAI solutions.

What You Will Do

  • Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikitlearn).

  • Design and deliverRAG pipelines, hybrid retrieval systems, and vectorbased search workflows.

  • DevelopAgentic AIsolutions including tool orchestration, reasoning flows, and safeexecution strategies.

  • Run structured experimentation using evaluation metrics (BERTScore, BLEURT, semantic similarity, retrieval precision/recall).

  • Integrate solutions into GCP (Vertex AI, Workbench, Vector Search)andAWS (SageMaker, Bedrock)

  • Build ingestion, enrichment, and semantic retrieval flows for highquality knowledge and feature engineering.

  • Partner with onshore and offshore DS/ML engineers to ensure quality, consistency, and shared technical patterns.

What You Need to Succeed

Technical Qualifications

  • 3-5+ years in Data Science, ML Engineering, Applied AI, or GenAI roles.

  • Strong Python and SQL skills; experience with deep learning and ML libraries.

  • Handson experience building RAG systems, vector search pipelines, and GenAI applications.

  • Familiarity with modern LLM platforms (Vertex AI, OpenAI, Bedrock, Azure OpenAI).

  • Experience implementing evaluation methodologies for both ML and GenAI.

Applied Science Skills

  • Ability to translate ambiguous business problems into wellstructured ML/GenAI solutions.

  • Experience designing multistep agent workflows and reasoning pipelines.

  • Strong grounding in statistics, experiment design, and feature engineering.

Communication & Collaboration

  • Ability to present complex concepts clearly to technical and business stakeholders.

  • Comfortable working with agile teams and collaborating across time zones.

  • Experience partnering with SMEs to validate and refine AI outputs.

Preferred Qualifications

  • Experience with Snowflake or enterprise data platforms.

  • Insurance domain knowledge (underwriting, claims, or risk analysis).

  • Experience with multimodal LLMs or enterprise prompt/agent frameworks.

Education & Experience

  • 5+years withBachelor'sdegree; less for Master's.

  • Master's preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$90,160 - $135,240

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

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Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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