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Data Science Analyst Intern Jobs in Amherst, MA (NOW HIRING)

AIToolboard

AI Product Manager

Springfield, MA · On-site

$140 - $210/hr

Proven experience managing Data Science, Analytical and AI products from concept through Delivery Proficient in SQL to efficiently query large datasets. Expertise on the capabilities and ...

New

Reli Group Inc

Power BI Intern

Springfield, MA · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Springfield, MA

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

FocusKPI

Marketing Operations Analyst

Springfield, MA · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

L3HHCM20

Intern, Software Engineer

Northampton, MA

$29 - $53.50/hr

Apply computer science, engineering, and mathematical analysis concepts and principles in the ... Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ...

L3HHCM20

Intern, Quality Engineer

Northampton, MA

$25.50 - $48/hr

Analyze quality performance for factory and collaborate with Operations Engineers to develop ... Quality Sciences or related field PAY TRANSPARENCY: In compliance with pay transparency ...

L3HHCM20

Intern, Software Engineer

Northampton, MA

$29 - $53.50/hr

Apply computer science, engineering, and mathematical analysis concepts and principles in the ... Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ...

L3Harris

Intern, Software Engineer

Northampton, MA · On-site

Apply computer science, engineering, and mathematical analysis concepts and principles in the ... Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ...

L3Harris

Intern, Software Engineer

Northampton, MA

Apply computer science, engineering, and mathematical analysis concepts and principles in the ... Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ...

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All JobsData Science Analyst Intern JobsData Science Analyst Intern Jobs in Amherst, MA

Data Science Analyst Intern information

See Amherst, MA salary details

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How much do data science analyst intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science analyst intern in Amherst, MA is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.13 per hour, depending on experience, location, and employer.

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

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

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

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

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Amherst, MA?

For Data Science Analyst Intern jobs in Amherst, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Analyst Intern jobs in Amherst, MA look for?

The top searched job categories for Data Science Analyst Intern jobs in Amherst, MA are:

What cities near Amherst, MA are hiring for Data Science Analyst Intern jobs?

Cities near Amherst, MA with the most Data Science Analyst Intern job openings:

Data Science Analyst Intern jobs near you

Senior Consultant - AI Product / Business Analyst - UX Engineering

Long Finch Technologies

Enfield, CT • On-site

Full-time

Posted 12 days ago

Job description

Job Summary

We are seeking an experienced Senior Consultant – AI Product / Business Analyst  to support the development and validation of AI-powered products and solutions . The ideal candidate will have strong experience working as a Business Analyst, Product Analyst, Product Owner, or similar role , along with hands-on experience in AI/LLM evaluation, prompt engineering, AI testing, and product validation .

The candidate will work closely with Business Stakeholders, Engineering, UX, and Data Science teams  to translate business and AI requirements into actionable product features, user stories, workflows, and acceptance criteria. Experience in the Healthcare domain  is highly preferred, along with hands-on AI experience.

Key Responsibilities

  • Gather and analyze business requirements for AI-powered products and solutions.
  • Translate business requirements into detailed Jira user stories, acceptance criteria, workflows, and product requirements .
  • Manage and prioritize product backlogs in collaboration with Product Owners and stakeholders.
  • Design and execute specialized AI/LLM test cases and evaluation scenarios .
  • Validate LLM-generated outputs for accuracy, quality, completeness, relevance, consistency, and reliability .
  • Evaluate different prompt variations and identify opportunities for prompt optimization.
  • Develop and execute test scenarios for AI agents and agentic workflows .
  • Perform AI model/product validation and analyze AI performance metrics.
  • Identify defects, inconsistencies, and quality gaps in AI-generated content and workflows.
  • Collaborate with Engineering, UX, Data Science, and Business teams to define and prioritize AI capabilities.
  • Support Agile ceremonies including backlog refinement, sprint planning, reviews, and retrospectives.
  • Drive continuous improvement of AI product quality and user experience.
  • Document requirements, test results, evaluation findings, and product recommendations.
  • Partner with stakeholders to ensure AI solutions meet business objectives and user needs.

Required Skills & Qualifications

  • 8–10+ years of experience  as a Business Analyst, Product Analyst, Product Owner, Product Consultant, or equivalent role.
  • Hands-on experience working with AI-powered products, Generative AI, LLMs, or AI/ML solutions .
  • Strong experience creating Jira user stories, acceptance criteria, product requirements, and workflows .
  • Hands-on experience with AI/LLM testing and evaluation .
  • Experience evaluating LLM outputs and comparing prompt variations.
  • Strong understanding of prompt engineering and prompt optimization .
  • Experience validating AI-generated content for accuracy, completeness, consistency, and quality.
  • Experience testing or evaluating AI agents and agentic workflows .
  • Strong Agile/Scrum experience.
  • Excellent communication and stakeholder management skills.
  • Ability to work effectively with Engineering, UX, Data Science, Product, and Business teams .

Preferred / Nice-to-Have Skills

  • Healthcare domain experience is highly preferred.
  • Experience in HR technology, learning technology, content creation platforms, or knowledge management solutions .
  • Experience working with AI-powered enterprise applications.
  • Knowledge of AI evaluation methodologies and performance metrics.
  • Experience with Jira and Agile product development environments.
  • Experience contributing to UX/product discovery and user journey analysis.

Top 3 Responsibilities

  1. Requirements & Product Management:  Gather business requirements, create detailed Jira user stories, define acceptance criteria, and manage product backlogs while translating AI product requirements into actionable features and workflows.
  2. AI/LLM Evaluation & Testing:  Plan, execute, and monitor AI/LLM evaluations by designing test scenarios, validating model outputs, evaluating prompts and agentic workflows, analyzing metrics, and driving continuous product quality improvements.
  3. Cross-Functional Collaboration:  Collaborate with Engineering, UX, Data Science, Product, and Business stakeholders to prioritize AI capabilities and ensure successful delivery of AI-powered products.

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