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Data Science Engineer Jobs in Connecticut (NOW HIRING)

Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required * PhD in qualitative discipline is preferred * 4+ years' experience predictive analytics, data ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

... science, statistics, operations research or equivalent combination of education and experience Experience * 0-3 years of experience in data analytics * 0-2 years of programming experience Skills

AI Solutions Architect - Life Sciences

Stamford, CT · Hybrid

$67.25 - $88.50/hr

Work you'll do As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements. * Lead small ...

This role will challenge the status quo, apply modern data science and AI approaches, and translate ... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ...

... in their data science or AI journey. Qualifications: • 4-7 years of relevant actuarial, technical, or research experience. • Strong programming skills, particularly in Python, including ...

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Bachelor's degree in Computer Science, Data Science, Information Technology, or related field ... Engineer Hands-on experience in Snowflake Primary skill set is Snowflake Hybrid position - 3 days ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Showing results 41-60

Data Science Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data science engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

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

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

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

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

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

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

Infographic showing various Data Science Engineer job openings in Connecticut as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Senior Data Scientist

Hartford, CT • On-site

Other

Re-posted 16 days ago


Job description

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project.

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope.

Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations.

Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.

Education and Experience:

  • Master's degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
  • 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 statistical analysis in other industry
  • Experience in feature engineering on structured and unstructured data
  • Experience with Git or similar tool for version control
  • Experience working with big-data technology on Linux-based systems.
  • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.)
  • 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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