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Data Science Jobs in Fairfield, CT (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches. Responsibilities * Write productionquality code for data ingestion, transformation ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses. * Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches. Responsibilities * Write production-quality code for data ingestion, transformation ...

Pwc

Payer Healthcare Data Scientist, Manager

Melville, NY · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Pwc

Payer Healthcare Data Scientist, Manager

Stamford, CT · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Pwc

AI Engineer / Data Scientist, AI Manager

Stamford, CT · On-site

$99K - $297K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

W. R. Berkley Corporation

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

... science, and business teams to enable modeling and AI uses. • Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability ...

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field * 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles * Hands-on ...

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field * 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles * Hands-on ...

Cisco

Applied AI Scientist

Stamford, CT · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Novocure

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ years of experience in data architecture, enterprise data management, or data integration roles

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All JobsData Science JobsData Science Jobs in Fairfield, CT

Data Science information

See Fairfield, CT salary details

$37.4K

$122.3K

$195.8K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Fairfield, CT is $122,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $135,500.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Fairfield, CT? The most popular types of Data Science jobs in Fairfield, CT are:
What are popular job titles related to Data Science jobs in Fairfield, CT? For Data Science jobs in Fairfield, CT, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Fairfield, CT look for? The top searched job categories for Data Science jobs in Fairfield, CT are:
What cities near Fairfield, CT are hiring for Data Science jobs? Cities near Fairfield, CT with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Fairfield, CT as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,280 per year, or $58.8 per hour.

Data Engineer

Berkley

Greenwich, CT • On-site

$128K - $154K/yr

Full-time

Re-posted 29 days ago

Job description

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.

Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

The Company is an equal employment opportunity employer. 


We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled workflows.

This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, welldesigned systems that others can rely on.

The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment over oneoff solutions or purely mechanical implementations.
We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.

Responsibilities

  • Write productionquality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Sparkbased pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, tradeoffs, and limitations clearly to technical and nontechnical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.

  • 4–7 years of relevant data engineering, software engineering, or technical experience. A Master’s degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLMbased tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.

Sponsorship not Offered for this Role

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