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Data Science Analytics Jobs in Connecticut (NOW HIRING)

Munich RE

Data Science Intern

Hartford, CT · On-site

$15.25 - $20.25/hr

As a valued Data Science Intern within our team in the Hartford, CT Office, you will work with HSB ... Strong analytical and problem-solving skills; ability to work creatively in problem solving ...

Munich Re

Data Science Intern

Hartford, CT · On-site

$15.25 - $20.25/hr

As a valued Data Science Intern within our team in the Hartford, CT Office, you will work with HSB ... Strong analytical and problem-solving skills; ability to work creatively in problem solving ...

Munich Re

Data Science Intern

Hartford, CT · On-site

$15.25 - $20.25/hr

As a valued Data Science Intern within our team in the Hartford, CT Office, you will work with HSB ... Strong analytical and problem-solving skills; ability to work creatively in problem solving ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

... Analyst's journey. You'll architect and implement cutting-edge agentic AI solutions while ensuring seamless integration with enterprise platforms. What you will do * Lead data science projects in ...

Deloitte

AI and Data Science Engineer II

Stamford, CT

$122K - $146K/yr

Performing exploratory data analysis to identify relationships, opportunities to influence outcomes ... We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ...

Customer Operations

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 0-3 years of experience in data analytics * 0-2 years of ...

Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Stryker

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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All JobsData Science Analytics JobsData Science Analytics Jobs in Connecticut

Data Science Analytics information

See Connecticut salary details

$23

$52

$89

How much do data science analytics jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data science analytics in Connecticut is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What can I do with data science analytics?

Data science analytics involves analyzing large datasets to extract insights, support decision-making, and solve complex problems. Professionals in this field use tools like Python, R, and SQL, and often work in industries such as finance, healthcare, or marketing to develop predictive models and visualize data. Skills in statistics, machine learning, and data visualization are essential for success in this role.

What are popular job titles related to Data Science Analytics jobs in Connecticut?

For Data Science Analytics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Science Analytics jobs in Connecticut look for?

The top searched job categories for Data Science Analytics jobs in Connecticut are:

Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.

Data Science Intern

Hartford, CT • On-site

Munich RE
See more jobs at Munich REexternal

$15.25 - $20.25/hr

Other

Posted 5 days ago

Job description

Empower yourself! Start building your career with a national industry leader!

Why intern at HSB?

At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies.

  • As a valued Data Science Intern within our team in the Hartford, CT Office, you will work with HSB's Data Science team on large scale machine learning projects supporting one of our major business areas (insurance, engineering or technology solutions).

Desired Major(s) and Level of Education:

  • MS or PhD Student in Statistics, Computer Science, Mathematics, Physics, Electrical Engineering or a related applied science with a heavy quantitative emphasis.
  • The ideal candidate is adept at using large data sets to find opportunities for product and process optimization.
  • Exceptional undergraduate students will also be considered.

Skills:

  • Strong programming experience with Python/R/SQL, with the ability to write well-documented production-level code.
  • Practical knowledge & experience with statistical methods
  • Strong analytical and problem-solving skills; ability to work creatively in problem solving environment.
  • Basic software engineering skills (Git, API, Docker Container, DevOps best practices)
  • Experience with Spark and distributed computing is a plus.
  • Experience with Azure cloud development is a plus.
  • Experience with learning frameworks such as PyTorch or Tensorflow is a plus.
  • Experience developing or experimenting with generative AI models (ex. LLMs) and associated utilties/workflows is a plus.
  • Available to start the internship in May 2027 and work a hybrid schedule in the Hartford, CT Office

HSB's Summer Internship Program provides a well-rounded, engaging and enjoyable experience.

Below are some of the key experiences and benefits you can expect.

Program Highlights:

  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the Hartford, CT office and working from home.
  • Participate in community outreach.
  • Opportunity to gain career advice and help you prepare for navigating your career search.
  • Learn about great careers within the insurance and the impact they make.
  • Potential full-time career opportunities after graduation.

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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