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Data Science Insurance Jobs in Connecticut (NOW HIRING)

In this position, you will work independently on data science projects of any scale and you will be ... the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in ...

In this position, you will work independently on data science projects of any scale and you will be ... the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in ...

In this position, you will work independently on data science projects of any scale and you will be ... the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in ...

In this position, you will work independently on data science projects of any scale and you will be ... the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in ...

Lead Data Scientist

Plainville, CT · On-site

$144K - $198K/yr

Bachelor's degree in data science or related field preferred * Master's degree preferred ... Pursuit Aerospace also offers a variety of benefits, including health and disability insurance ...

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

Bachelor's degree in data science or related field preferred * Master's degree preferred ... Pursuit Aerospace also offers a variety of benefits, including health and disability insurance ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Within Customer Operations Data Science, we build modern AI products that optimize customer ... Experience working in highly regulated industries such as insurance or financial services.

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.

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.

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.

Showing results 21-40

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 Aug 19, 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?

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 the key skills and qualifications needed to thrive in data science insurance?

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 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 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:

Infographic showing various Data Science Insurance job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 19% Part Time, 2% Temporary, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $108,797 per year, or $52.3 per hour.

Senior Data Scientist - AI/ML Solutions

Spartan Technologies, Inc.

Stamford, CT • On-site

Full-time

Re-posted 7 days ago


Job description

We seek a Senior Data Scientist - AI/ML Solutions for our client's direct hire position. This role is a hybrid remote position, requiring 2 days a week at our client's offices.
This position is open to US Citizens, Green Card holders, or qualified persons requiring sponsorship.
Office locations: NYC, NY | Holmdel, NJ | Stamford, CT | Bethlehem, PA, Boston, MA
Your Job
As a Senior Data Scientist - AI/ML Solutions, you will join our client's team of Data Scientists to develop advanced data science solutions using machine learning and artificial intelligence. Your role will involve leading use case/workstream with junior data scientists and supporting use case development from initial data exploration to the creation of final reports. You will utilize advanced statistical and AI/ML techniques to create predictive models and analyses that address business objectives. Additionally, you will collaborate with cross-functional teams, perform data wrangling and ETL, and ensure data accuracy and consistent reporting. This is an exciting opportunity to apply cutting-edge technology and contribute to our client's ongoing evolution as a forward-thinking insurance company.
The Work
  • Lead use case/workstream with junior data scientists
  • Support use case development including data exploration, project/sample design, data reception and processing, analysis and modeling, and creation of final report/presentation
  • Perform data wrangling/data matching/ETL to explore various data sources, gain data expertise, perform summary analyses, and prepare modeling datasets
  • Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
  • Identify source data and perform data quality checks both in model/solution development and in production
  • Package model/solution and deploy it in cooperation with Data Engineers and MLOps
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis.

Qualifications
Meets one of the following Education AND Experience combinations:
  • Combination 1 - PhD with 2+ years of experience

or
  • Combination 2 - Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field

  • 3+ years of hands-on ML modeling/development experience
  • Solid understanding of data analysis and statistical modeling
  • Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
  • Demonstrated track record in experimental design and execution
  • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing, and applying parallelism to ML solutions
  • Strong programming skills in Python
  • Solid background in algorithms and a range of ML models
  • Excellent communication skills and ability to work and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
  • Excellent analytical and problem-solving abilities with superb attention to detail
  • Proven leadership in providing technical leadership and mentoring to data scientists, strong management skills with the ability to monitor/track performance for enterprise success

Nice to Have
  • Experience with deep learning and neural networks
  • Familiarity with big data technologies such as Hadoop and Spark
  • Knowledge of natural language processing (NLP) techniques
  • Understanding of cloud computing platforms such as AWS or Azure
  • Previous experience in the insurance or financial industry

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