1

Data Science Fall Internship Jobs in Holyoke, MA

Actuarial Analyst (CMH Health)

Windsor, CT ยท On-site

$60K - $136K/yr

Perform data analysis using Excel, SAS, and proprietary Milliman programs to assist with consulting ... Bachelor's ormaster'sdegree in actuarial science, mathematics, economics, finance, accounting, or ...

Showing results 21-40

Data Science Fall Internship information

See Holyoke, MA salary details

$11

$22

$41

How much do data science fall internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data science fall internship in Holyoke, MA is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What job categories do people searching Data Science Fall Internship jobs in Holyoke, MA look for?

The top searched job categories for Data Science Fall Internship jobs in Holyoke, MA are:

What cities near Holyoke, MA are hiring for Data Science Fall Internship jobs?

Cities near Holyoke, MA with the most Data Science Fall Internship job openings:

Senior Full Stack Software Engineer (TS/SCI with CI Poly) - Vantor

Vantor

Springfield, MA โ€ข On-site

Full-time

Retirement

Re-posted 19 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate whatโ€™s happening now and shape whatโ€™s coming next.  Vantor is a place for problem solvers, changemakers, and go-gettersโ€”where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level. 

Weโ€™re hiring a solution driven Software Engineer to work onsite with U.S. Government customers to create technology solutions for data collection, data analytics, data visualization, and user workflow automation.  You will get to work on an interesting mission focus with large data sets and create solutions with technology in support of national security.   You will work directly with analysts to understand mission needs and generate solutions.  Technical tasks include ELT, managing, analyzing, and visualizing large sets of geospatial data to extract meaningful knowledge with cloud-based processing technologies and emerging data science techniques.  

We want a self-motivated engineer who is comfortable digging into data, trying innovative approaches, and isnโ€˜t afraid to fail fast and move on to other techniques/ideas.  

Responsibilities: 

  • Design and implement efficient, flexible solutions that can scale for mission critical applications. 
  • Active in all aspects of the development lifecycle, including planning, requirements development, software design, implementation and build, documentation, testing, deployment and maintenance.  
  • Apply software standards and processes to produce high quality, extensible, and maintainable software solutions. 
  • Work with cloud tech stacks to perform data extraction, manipulation, transformation; visualization of geospatial-temporal data sets 
  • Develop analytics/derivative data products to help users extract meaningful knowledge  
  • Proactive approach to trouble shooting and problem-solving issues 
  • Work directly with users throughout the IC/DoD to understand their requirements and propose technical solutions 
  • Collaborate with diverse teams of engineers, clients, and users 
  • Ability to work full time onsite 

Minimum Qualifications: 

  • US citizenship and a current TS/SCI clearance (with willingness to get a CI Polygraph). 
  • Bachelorโ€™s degree in computer science or related technology fields.
  • Minimum of 8 years demonstrated experience in software development, including design, development, and implementation 
  • Proficiency in Java, Python, or similar object-oriented programming languages 
  • Experience with data extraction, manipulation, visualization, and analysis of large datasets 
  • Proficiency in Linux-based environments 
  • Experience designing and supporting cloud-based architectures, including AWS and C2S environments 
  • Experience developing and maintaining applications in cloud computing environments 
  • Experience working with NoSQL data stores such as Elasticsearch, MongoDB, or similar technologies 
  • Demonstrated ability to lead small engineering teams and work both independently and collaboratively 
  • Strong problem-solving mindset and adaptability, with the ability to leverage emerging technologies to solve mission challenges 
  • Familiarity with modern software development tools, DevSecOps practices, and CI/CD pipelines 
  • Experience with Agile development methodologies 

Preferred Qualifications: 

  • Experience working with containerization and orchestration technologies, including Docker and Kubernetes, in cloud or hybrid environments 
  • Knowledge of GIS technologies, geospatial data processing, and visualization techniques 
  • Experience working with open-source technologies in government computing environments 

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidateโ€™s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

โ— The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $228,000.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: 

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantorโ€˜s Career page at the top of each job posting.

To apply, submit your application via Vantorโ€˜s Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.