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Data Mining Jobs in Connecticut (NOW HIRING)

Munich Re

Data Scientist

Hartford, CT

Master's degree in a qualitative field is preferred * 2+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 4+ years predictive analytics, data ...

Munich Re

Data Scientist

Hartford, CT · On-site

Master's degree in a qualitative field is preferred * 2+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 4+ years predictive analytics, data ...

Munich Re

Senior Data Scientist

Hartford, CT

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease * Select and benchmark methods and tools, define and perform appropriate QC measures

Collabera

Data Analyst

Hartford, CT

Competent in use & writing SQL / SAS for data analysis and data mining tools (experience working with Big Data tools a plus). Comprehensive analytical, reasoning, problem-solving and communications ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Prior data mining experience is helpful Basic Qualifications & Requirements * Pursuing a Bachelor's degree in a quantitative discipline like Statistics, Mathematics, Engineering, etc. * Excellent ...

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Data Mining information

See Connecticut salary details

$48.5K

$66.6K

$84.7K

How much do data mining jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data mining in Connecticut is $66,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $80,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in data mining, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Connecticut? The most popular types of Data Mining jobs in Connecticut are:
What are popular job titles related to Data Mining jobs in Connecticut? For Data Mining jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Connecticut look for? The top searched job categories for Data Mining jobs in Connecticut are:
What cities in Connecticut are hiring for Data Mining jobs? Cities in Connecticut with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,590 per year, or $32 per hour.

Data Scientist

Munich Re

Hartford, CT

Full-time

Posted 10 days ago

Job description

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied within the scope of a given project.

In addition, you will work on small scale or ad hoc data science projects independently.

Work closely with data engineering and infrastructure teams to deploy models and data products at scale.

Education and Experience:

  • Bachelor's degree in Statistic, Computer Science, Engineering, Mathematics or related field is required
  • Master's degree in a qualitative field is preferred
  • 2+ years' experience predictive analytics, data mining or statistical analysis in the insurance industry or 4+ years predictive analytics, data mining or statistical analysis in other industry
  • Experience with Git or similar tool for version control
  • Experience developing or applying generative AI models (such as large language models or generative adversarial networks) to solve business problems is a plus
  • Proficiency with natural language processing (NLP) techniques and tools for extracting insights from unstructured data, including experience with prompt engineering or deploying AI-powered chatbots and virtual assistants is a plus
  • Experience working with big-data technology on Linux-based systems is a plus
  • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus
  • Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:

  • Hands-on experience in Python, R, SQL, Scala
  • Exposure to cloud computing (Azure, AWS, etc.)
  • Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
  • Ability to write production-ready code

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.   
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

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