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Applied Data Science Jobs in Connecticut (NOW HIRING)

Webster Bank

Manager, Financial Analytics

Stamford, CT

$112K - $147K/yr

... applied methodology. * Execute and supportDual RiskRatingmodel building, monitoring and model ... Required Skills& Experience * 3+years ofindustryexperienceinData Analytics,Data Science ...

Cigna

Director, Technical Product Management - Applied AI

Bloomfield, CT · On-site +1

$232K - $243K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Working across Finance, Engineering, Data, and Architecture teams, this leader translates complex ... Bachelor's degree in Computer Science, Information Systems, or Business Administration or related ...

Catalyst Labs

ML Engineer

Stamford, CT · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems ...

Catalyst Labs

ML Engineer

Greenwich, CT · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems ...

Hyperfine

Senior AI Scientist

Guilford, CT

$160K - $185K/yr

Guilford, Connecticut The Senior AI Scientist is a talented and experienced Scientist with applied ... Maintain and continuously improve our existing DL models, with new training data and modeling ...

Hyperfine

Senior AI Scientist

Guilford, CT

$160K - $185K/yr

Guilford, Connecticut The Senior AI Scientist is a talented and experienced Scientist with applied ... Maintain and continuously improve our existing DL models, with new training data and modeling ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Guilford, Connecticut The Senior AI Scientist is a talented and experienced Scientist with applied ... Maintain and continuously improve our existing DL models, with new training data and modeling ...

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Showing results 41-60

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 Aug 15, 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 does an applied data science do?

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.

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 like Python, R, and SQL.

What are the key skills and qualifications needed to thrive in applied data science?

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.

What is an applied data science?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $147,779 per year, or $71 per hour.

Manager, Financial Analytics

Webster Bank

Stamford, CT

$112K - $147K/yr

Full-time

Posted 22 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

123rd of 171 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

The Financial Analytics Manager is responsible for the quarterly execution of the vendor models. This includes the preparation of CECL loan data across each of the relevant portfolios, coordination with data, credit, business line, and operations teams on any issues, and presenting the results to the CECL Committee and external auditors at least quarterly.

Theroleplays a key role in bridging business objectives with data-driven insightsat Webster. This positionis responsible for understanding and translating complex business requirements into analytical solutions, leveragingWebster'sdatasystems andtools,designing coding and maintainingdata workflows.The role involves overseeing the integration and processing of both structured and unstructured data sourcesto enhance data usability.Theindividual needs to collaborate withIT, DataTeam,andLoBpartners in developingdataworkflows,dataanalysisandreporting.TheManager Financial Analyticsrole designs and supports statistical and predictive models that inform strategic decision-making. This roleis right for you if you're a "hands-on" coderand analyst, take ownership and sound business understanding.

Primary Responsibilities

  • Develop expert knowledge and experience with Webster's data systems and tools.

  • Develop strong relationships with Webster lines of business, Finance,Credit, Data,Risk & IT partnersto ensure consistency and appropriateness of the team's various processes and impact on FA models.This includes changes to external systems, changes in database content and structure, and changes in applied methodology.

  • Execute and supportDual RiskRatingmodel building, monitoring and model refresh.

  • Analyze and organize largestructured and unstructureddata to derive actionable insights and support decision-makingprocesses.

  • Assist FA team and collaborate internally.Document and communicate changes to data structure, content and logic that has impact on models. Assist in the coding and testing of changes to existing models.

  • Collaborate with cross-functional teams to understand data requirements, business objectivesand implement effectivesolutions.

  • Work with external data sources, APIs.

Required Skills& Experience

  • 3+years ofindustryexperienceinData Analytics,Data Science,DataEngineering,Software Developmentor relatedfield.

  • Experience working with complex data structureswithin a RDMS (Oracle, SQL).

  • Proficient in Python/SASProgramming Language.

  • Knowledge of advanced statistical techniques and concepts and experience with applications.

  • Experienceinbuilding, validating and deploying statistical or predictive models.

  • Strongbusiness knowledge and familiarity withfinancial data systems and architecture.

  • Ability to interpret and translate business needs into analytical frameworks.

  • Strong analytical and problem-solving skills and ability to work in a collaborative team environment.

  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

  • Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.

  • Technically oriented, proactive, and enthusiastic, with good attention to details.

  • Proven ability to manage multiple priorities, meet deadlines, and adapt to changing business needs in a fast-paced environment.

Preferred Skills & Experience

  • 5+years ofindustry experience in Data Analytics, Data Science, Data Engineering, Software Development or related field.

  • Experience working with unstructured datausing advanced OCR and NLP techniques.

  • Experiencewith one or more cloud-based computing platforms: AWS, Azure, GCP.

  • Experiencein designing efficient and robust data workflows(e.g.- Apache Airflow).

  • Experience in integrating automated unit test cases and code scanning tools with CI/CD pipeline (E.g. - GitLab).

  • Experience in developing constructive relationships with a wide range of different stakeholders.

  • Ability to independently gather data from various sources and conduct research.

  • Ability to think "out of the box"andprovide suggestions on ways to improvethe process.

Education

  • Bachelors,Masters'in statistics, datascience, computer scienceor otherSTEMfields (e.g., physics, math, engineering, etc.)Finance or Business MS/MBAwithstrongquantitativeand programmingbackgroundalso acceptable.

The estimated salary range for this position is $110,000USD to $130,000USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

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Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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