ZipRecruiter

Log In

1

Applied Data Science Jobs in Connecticut (NOW HIRING)

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or a relevant professional designation (e.g. FCAS, FSA ...

Munich Re

Data Scientist

Hartford, CT

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 ...

New

The Hartford

AVP Applied AI

Hartford, CT · On-site +1

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... The Assistant Vice President (AVP), Applied AI leads data science, traditional machine learning ...

Guardianlife

Data Scientist, Agentic AI

Stamford, CT · Hybrid

$95K - $156K/yr

Our team includes data scientists, engineers, analysts, and product leaders working together to ... Computer Science, Engineering, Applied Mathematics, or related field. * 2+ years of hands-on ...

next page

Showing results 1-20

All JobsApplied Data Science JobsApplied Data Science Jobs in Connecticut

Applied Data Science information

See Connecticut salary details

$26.1K

$147.8K

$224.8K

How much do applied data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for applied data science in Connecticut is $147,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,905.00 and $183,659.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

Is data science high paying?

Data science is generally considered a high-paying field, with salaries often above average for technology roles. Factors such as experience, skills in programming and statistical analysis, and industry can influence compensation levels.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools. The degree often requires proficiency in programming languages like Python or R and knowledge of data management and modeling techniques.

What jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and often involve working with large datasets to inform decision-making.

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

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

Is 40 too late for data science?

Applied Data Science is a field open to individuals of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications, building portfolios, and continuously learning new tools like Python or R.

What is an Applied Data Science job?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What are popular job titles related to Applied Data Science jobs in Connecticut? For Applied Data Science jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Applied Data Science jobs in Connecticut look for? The top searched job categories for Applied Data Science jobs in Connecticut are:
Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Connecticut as of July 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,779 per year, or $71 per hour.

Director of Applied AI & Data Science

Knights of Columbus - Council 11091

New Haven, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Feel Good About Doing Good
The Knights of Columbus is a tax-exempt Catholic fraternal benefit society that provides financial security to members and their families through our life insurance, long-term care insurance, disability income insurance, investment and annuity products. Charity is at the core of our missions: our profits are donated to help those in need and to support our faith - $1.73B over the past ten years.
While we have many employees who are not Catholic, we follow the Church's teachings in our investment strategies and our employee benefits. As part of our religious mission, we support the pro-life cause by contributing to the March for Life and pregnancy resource centers, we oppose assisted suicide and euthanasia, we are evangelists for the Catholic faith, and we help Christians who are facing religious persecution in the Middle East. We all work together to support our two million members as they volunteer to help others in their parishes and communities around the world.
Share Your Talent. Live Your Purpose.
We are a growing and purpose-driven community of professionals. Join us to discover how you can meet your goals and ours!
#LI-Hybrid
Overview
The Director of Applied AI & Data Science is a senior technical leader responsible for designing, engineering and operationalizing production grade AI solutions across Life Insurance, Investments, Membership, and Charities. This role focuses on building scalable and reliable AI systems, including machine learning and generative AI (LLM) capabilities, within a governed enterprise data and AI ecosystem.
This role provides technical leadership and oversight for the Senior Applied AI & Data Scientist, Applied AI & Data Scientist, and Senior Data & AI Solutions Architect. The Director of Applied AI & Data Science ensures solutions are production-ready, resilient, cost-effective, and aligned to responsible AI and regulatory standards.
Core Responsibilities
  • Develop and deploy advanced statistical, machine learning, and AI models supporting insurance, actuarial, claims, and investment decision-making
  • Design and deliver LLM-enabled analytics and Deep Research solutions, including RAG-based approaches over structured and unstructured data
  • Perform hands-on data analysis, feature engineering, and model development using enterprise platforms (Snowflake, PostgreSQL, DB2)
  • Define model success metrics, validation approaches, and explainability standards aligned to business and regulatory expectations
  • Partner with data engineers and architects to produce models, establish monitoring, and manage model lifecycle and drift
  • Apply responsible AI practices including bias assessment, transparency, and documentation for audit and compliance review
  • Communicate analytical insights and model outcomes clearly to business leaders and technical stakeholders
  • Collaborate across analytics, engineering, risk, and compliance teams to ensure scalable, governed AI and analytics delivery

Skills Qualifications
Required:
  • Strong experience with Python and SQL and production system development.
  • Experience with Snowflake and relational databases such as PostgreSQL.
  • Experience with API development, pipelines, and system integration.
  • Experience with monitoring, CI/CD, and operational lifecycle management of AI systems.
  • Proven ability to lead technical teams and deliver complex solutions.

Preferred:
  • Experience in financial services or other regulated industries.
  • Experience with DB2 or legacy-to-cloud data migration.

Education
Required:
  • 8+ years of experience in software engineering, data engineering, or ML engineering.
  • 3+ years delivering production AI/ML and/or GenAI solutions (RAG, agents, or similar)

Compensation
The wage range for this role takes into account a broad array of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The range below applies as long as the work is performed in Connecticut; the Knights of Columbus reserves the right to adjust the wage range if the position is performed in another location. At the Knights of Columbus, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $140,000 - $238,000.
Authorization to work in the United States is required.
This position is not eligible for visa sponsorship.
Physical Demands
Must be able to remain in a stationary position for a majority of the workday.
KofC Cares
Our mission is focused on family and faith, and we support our employees in seeking a balanced life.
Employee benefits include:
Time Away: 13 paid holidays per year in addition to vacation and paid sick leave, and flexible workweek schedules.
Professional Development: Certifications, designation, and tuition reimbursement.
Retirement Benefits: 401(k) retirement savings plan with matching company contributions, and cash balance retirement plans fully funded by the company.
Health and Wellness:
  • Short-term disability and term life insurance fully paid for by the company;
  • Up to 12 weeks of childbirth leave under STD policy.
  • One week of fully paid parental leave for all new parents, including adoptive and foster parents.
  • A variety of health insurance options, including premium-level family coverage and a pre-tax Health Savings Account with employer contributions. The Order's health plans do not cover abortion, sterilization, or contraception, and the Order has helped advocate for other employers who do not want to provide coverage.
  • Long-term disability insurance;
  • Dental insurance;
  • Vision insurance;
  • Health club membership reimbursement;
  • Employee Assistance Program

Apply