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Data Science Insurance Jobs in Connecticut (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

The Hartford

Sr Applied AI Data Scientist

Hartford, CT · On-site

$110K - $166K/yr

Sr Data Scientist - GD07AE 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 ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities ... Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.

ISO New England, Inc.

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 1 Career Role Analyst - Data Science Work Location ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

CVS Health

Senior Data Engineer (Requiring GCP)

Hartford, CT · On-site

$106K - $145K/yr

They are seeking a Senior Data Engineer to join their Medicare Member Experience data science team ... insurance data ecosystems, or other regulated environments • Experience improving platform ...

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All JobsData Science Insurance JobsData Science Insurance Jobs in Connecticut

Data Science Insurance information

See Connecticut salary details

$23.1K

$108.8K

$205.2K

How much do data science insurance jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data science insurance in Connecticut is $108,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,187.00 and $154,554.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are the most commonly searched types of Data Science Insurance jobs in Connecticut? The most popular types of Data Science Insurance jobs in Connecticut are:
What are popular job titles related to Data Science Insurance jobs in Connecticut? For Data Science Insurance jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Connecticut look for? The top searched job categories for Data Science Insurance jobs in Connecticut are:
Data Science Insurance jobs near you
Data Engineer

Data Engineer

Berkley

Greenwich, CT

$128K - $154K/yr

Full-time

Posted 3 days ago

Job description

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.

Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

The Company is an equal employment opportunity employer. 


We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled workflows.

This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, welldesigned systems that others can rely on.

The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment over oneoff solutions or purely mechanical implementations.
We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.

Responsibilities

  • Write productionquality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Sparkbased pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, tradeoffs, and limitations clearly to technical and nontechnical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.

  • 4–7 years of relevant data engineering, software engineering, or technical experience. A Master’s degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLMbased tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.

Sponsorship not Offered for this Role

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