IT Internship - Remote (Summer 2027)
Free to start · No card · 5 credits the moment you sign up
Job description
PURPOSE
Gain industry and organizational knowledge through daily business interactions and job assignments while supporting Data Science, Analytics, and Artificial Intelligence initiatives. Work is performed under direct supervision. This internship provides hands-on experience applying data-driven solutions to business challenges through data analysis, reporting, visualization, machine learning, and emerging AI technologies.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Assists with data analytics, data science, and AI-related projects in support of the department. Performs data gathering, cleansing, validation, and organization activities to support business initiatives, special projects, and reporting needs. Conducts data research and analysis to identify trends, opportunities, and actionable business insights. Supports development of business intelligence dashboards, reports, and visualizations using tools such as Power BI or Tableau. Assists with proof-of-concept (POC) initiatives involving Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). Writes and executes queries using SQL and may assist with data analysis using Python or R. Participates in team meetings, brainstorming sessions, and project reviews. Works with cross-functional teams to support project goals and business objectives. Assists in preparing presentations, reports, and recommendations for business stakeholders. May support data governance, master data management, and enterprise data quality initiatives.
MINIMUM REQUIREMENTS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required.
Must be actively pursuing a Bachelor's degree in Computer Science, Computer Information Systems, Data Science, Data Analytics, or a related field Preferred GPA of 3.0 or higher. Preferred senior-level student, but will consider other class levels. Exposure to data analytics, SQL, AI/ML concepts, Power BI or Tableau, and programming languages such as Python or R is preferred.
COMPETENCIES
Strong oral, written, and communication skills. Ability to work well with diverse groups of people. Comfortable talking with and interacting with others. Knowledgeable in Microsoft Office and Outlook. Strong analytical and problem-solving skills. Ability to interpret and communicate data-driven insights. Interest in Artificial Intelligence, Machine Learning, Data Science, and emerging technologies. Working knowledge of SQL, Power BI or Tableau, and Python or R preferred. Ability to manage multiple tasks and work effectively in a collaborative team environment.
This position was posted on 9/1/2026 and we anticipate it will be open for a minimum of five days, though it may be open for a longer period. We encourage your prompt application.
Originally posted on Himalayas
Prepare your application
Use the description above to assess your fit for Builders FirstSource. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.