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

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or ...

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

Quality Data Entry - Temp

Warren, MA · On-site

$17.50 - $23.50/hr

Strong analytical skills and attention to detail. * Ability to work independently in a fast-paced ... science, business, or a technical field preferred - Requires 2-5 years of business experience ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... advancing science in meaningful ways. Our global team is dedicated to combining best-in-class ...

TEAS Tutor

Northampton, MA · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

Director, Data Platforms

Springfield, MA · On-site

$160K - $215K/yr

Build platform capabilities to support advanced analytics and enterprise AI (GenAI and ML ... Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master ...

Use business data, operational metrics, customer insights, and stakeholder feedback to support ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

Showing results 41-60

Data Science Analyst Intern information

See Amherst, MA salary details

$11

$22

$41

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

As of Aug 12, 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.

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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:

$78 - $84/hr

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Posted 20 days ago


Job description

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER: 37477090 REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands‐on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long‐term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI‐enabled analytics or development tools (e.g., Claude, AI code assistants, agent‐based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive‐ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end‐to‐end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision‐making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non‐technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.