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Summer Data Science Jobs in Springfield, MA (NOW HIRING)

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Summer Data Science information

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or bootcamps, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Summer Data Science Intern, and why are they important?

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is preferred, candidates with strong analytical skills, relevant coursework, or certifications can sometimes qualify for internships or junior roles to gain practical experience.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-cost-of-living areas. Senior roles, specialized expertise, and leadership positions are more likely to reach this salary level.
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 Summer Data Science jobs in Springfield, MA? For Summer Data Science jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Summer Data Science jobs in Springfield, MA look for? The top searched job categories for Summer Data Science jobs in Springfield, MA are:
Summer Data Science jobs near you
Infographic showing various Summer Data Science job openings in Springfield, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Tech & Data Program Summer 2027 - Data Engineer Intern (Hartford)

The Hartford Financial Services Group, Inc.

Hartford, CT

Full-time

Posted 20 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

57th of 299 rated insurance

Job description

Student Intern - HHSIAN

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.

Tech & Data Program Summer 2027 - Data Engineer Intern

Program Overview

At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business.

As a Data Engineer Intern, you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This role is ideal for students who are interested in building the systems behind the data - transforming raw information into reliable, usable data assets that help teams make better decisions.

Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here.

About the Experience

The Hartford's Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry.

As part of The Hartford's growing investment in AI and advanced analytics, interns will explore how emerging technologies - including generative AI, machine learning, and automation - are transforming business operations, decision-making, and customer experience.

In this role, you will gain hands-on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities.

This role is a hybrid position in Hartford, CT. Candidates must be authorized to work in the US without company sponsorship now or in the future.

What You'll Gain

  • Hands-on experience designing, building, and supporting data pipelines and data workflows
  • Exposure to modern data engineering practices, including ETL/ELT, data transformation, data quality, and cloud-based data platforms
  • Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms
  • Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases
  • Mentorship, coaching, feedback, and self-directed learning opportunities
  • Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization
  • A stronger understanding of how data supports decision-making within the insurance industry

Ways You'll Learn, Grow, and Contribute

Depending on your role and project assignments, your experience may include:

  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use
  • Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions
  • Apply data engineering tools and techniques (e.g., Python, SQL, ETL processes, cloud technologies) to develop reliable data assets
  • Ensure data quality, consistency, and performance through profiling, validation, and monitoring activities
  • Collaborate with cross-functional teams to deliver scalable data solutions that address business needs
  • Leverage AI tools (e.g., Copilot) to enhance productivity and support the development of data solutions that power advanced analytics and machine learning

Required Qualifications

  • Strong analytical, problem-solving, and critical thinking skills
  • Strong communication, collaboration, and interpersonal skills
  • Curiosity and willingness to explore new technologies and challenge assumptions
  • Demonstrated ability to analyze complex problems using structured thinking and logical reasoning
  • Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business

Experience and exposure to some orall ofthe following:

  • Programming & Querying: Python, SQL, PL/SQL
  • Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling
  • Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts
  • Cloud Technologies: AWS, Azure, or Google Cloud
  • Analytics & BI: Tableau, dashboards, reporting, data mining, or business intelligence tools
  • AI & Emerging Technology: Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions
  • Agile Ways of Working: Exposure to Agile teams, sprint delivery, or collaborative product-based work.

Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford's Technology & Data organization.

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:

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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

Pay

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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