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Data Science Jobs in Springfield, MA (NOW HIRING)

The Hartford

Applied AI Data Scientist

Hartford, CT · On-site

$90K - $135K/yr

The Hartford is expanding its Data Science, AI & Analytics capabilities to deliver nextgeneration AI, Generative AI, and Agentic AI solutions across underwriting, claims, risk analysis, and ...

STI

Data Scientist

Hartford, CT · On-site

... Ability Data Science • Experience with machine learning, AI, and cognitive service engine models • Experience with programming languages like SQL, Python, R, and Scala • Using analytics ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT

The candidate should have 7+ years of industry experience in data science and analytics. Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics ...

Saransh Inc

Data Scientist

Hartford, CT · On-site

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or) Remote for other USA locations Job Type: Contract * Data scientists develop robust, efficient, and ...

Pursuit Aerospace

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

Pursuit Aerospace

Lead Data Scientist

Manchester, CT · On-site

Bachelor's degree required * 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes * 2+ years in SQL ...

CVS Health

Sr Data Scientist

Hartford, CT · On-site +1

$105K - $203K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science. Statistics, Mathematics. Analytics, or a related field and one (1) year of experience in the job offered or related ...

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All JobsData Science JobsData Science Jobs in Springfield, MA

Data Science information

See Springfield, MA salary details

$37.4K

$122.3K

$195.8K

How much do data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data science in Springfield, MA is $122,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 Springfield, MA? The most popular types of Data Science jobs in Springfield, MA are:
What are popular job titles related to Data Science jobs in Springfield, MA? For Data Science jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Springfield, MA look for? The top searched job categories for Data Science jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Science jobs? Cities near Springfield, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Springfield, MA as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Temporary. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $122,309 per year, or $58.8 per hour.
Applied AI Data Scientist

Applied AI Data Scientist

The Hartford

Hartford, CT • On-site

$90K - $135K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

51st of 278 rated insurance

Job description

Data Scientist - GD08AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is expanding its Data Science, AI & Analytics capabilities to deliver nextgeneration AI, Generative AI, and Agentic AI solutions across underwriting, claims, risk analysis, and enterprise operations. We are seeking anAI Applied Scientistwho combines strong scientific depth with handson engineering to design, build, evaluate, and operationalize enterprisegrade AI systems.

You will collaborate with product owners, SMEs, engineers, and both onshore and offshore DS/ML teams to drive measurable business impact through innovative ML and GenAI solutions.

What You Will Do

  • Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikitlearn).

  • Design and deliverRAG pipelines, hybrid retrieval systems, and vectorbased search workflows.

  • DevelopAgentic AIsolutions including tool orchestration, reasoning flows, and safeexecution strategies.

  • Run structured experimentation using evaluation metrics (BERTScore, BLEURT, semantic similarity, retrieval precision/recall).

  • Integrate solutions into GCP (Vertex AI, Workbench, Vector Search)andAWS (SageMaker, Bedrock)

  • Build ingestion, enrichment, and semantic retrieval flows for highquality knowledge and feature engineering.

  • Partner with onshore and offshore DS/ML engineers to ensure quality, consistency, and shared technical patterns.

What You Need to Succeed

Technical Qualifications

  • 3-5+ years in Data Science, ML Engineering, Applied AI, or GenAI roles.

  • Strong Python and SQL skills; experience with deep learning and ML libraries.

  • Handson experience building RAG systems, vector search pipelines, and GenAI applications.

  • Familiarity with modern LLM platforms (Vertex AI, OpenAI, Bedrock, Azure OpenAI).

  • Experience implementing evaluation methodologies for both ML and GenAI.

Applied Science Skills

  • Ability to translate ambiguous business problems into wellstructured ML/GenAI solutions.

  • Experience designing multistep agent workflows and reasoning pipelines.

  • Strong grounding in statistics, experiment design, and feature engineering.

Communication & Collaboration

  • Ability to present complex concepts clearly to technical and business stakeholders.

  • Comfortable working with agile teams and collaborating across time zones.

  • Experience partnering with SMEs to validate and refine AI outputs.

Preferred Qualifications

  • Experience with Snowflake or enterprise data platforms.

  • Insurance domain knowledge (underwriting, claims, or risk analysis).

  • Experience with multimodal LLMs or enterprise prompt/agent frameworks.

Education & Experience

  • 5+years withBachelor'sdegree; less for Master's.

  • Master's preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$90,160 - $135,240

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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