computer science intern

Ramzin Luxury Yacht

Job Title: IT Intern (Hybrid) &ndash; UAECompany: Razmin GroupJob Type: InternshipLocation: United Arab Emirates (Hybrid &ndash; Online with office presence 2 days per week)Job Description: Razmin Group is looking for motivated IT and Computer Science students to join our team as IT Interns. This internship offers the opportunity to gain practical experience in a professional business environment while developing technical and problem-solving skills. The internship is primarily online, with interns required to attend the office two days per week for collaboration, training, and project work.Payment: Interns will be paid based on project completion, meaning compensation will be provided for each successfully completed project assigned during the internship.Requirements:<ul><li>Currently studying IT, Computer Science, or a related field</li><li>Must be based in the United Arab Emirates</li><li>Basic knowledge of computer systems, programming, or software tools</li><li>Strong willingness to learn and grow in a professional environment</li><li>Good communication and teamwork skills</li></ul>Job Type: Internship Contract length: 1 month

Computer Science / IT Intern

Burlington Public Schools

<div>College Intern, Career Pathways Burlington High School, 2025/2026 
Position: College Intern, Career Pathways in Technology 
Job Goal: Part-time role working with technology students as a teaching assistant and mentor for the Burlington High School Career Exploration Program. The program is part of the career pathways program which offers Burlington High School students an opportunity for career exploration and work-related learning experiences. 
Duties and Responsibilities:<ul><li>
Provide one-on-one tutoring and guidance to up to 25 students who are working on technology projects and certifications. Projects are focused on software development, cyber security, data science, robotics, or website development.</li><li>
Assist program supervisor with logistical tasks such as taking attendance, administering programmatic surveys to students, and completing daily and end of program surveys in a timely fashion.</li><li>
The program has two sessions, one in spring and one in summer, both approximately 60-100 hours. Applicants can specify if they are interested in working at one or both programs.</li></ul> 
Requirements:<ul><li>
Working toward or completion of a BA or BS in computer science or a related field by the start of the program.</li><li>
Experience with at least one technical area, i.e. cybersecurity, data science, engineering, programming, etc..</li><li>
Previous teaching, tutoring or mentoring experience, especially in computer science is strongly preferred.</li><li>
Ability to adapt to various learning styles and respect for individual differences of students.</li><li>
Must be able to collaborate with other team members and share classroom responsibilities.</li><li>
Strong time management, organizational and communication skills.</li></ul> 
PHYSICAL DEMANDS: 
<ul><li>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Must be willing and able to physically manage students if needed.</li><li>
While performing the duties of this job, the employee is frequently required to sit and talk or hear. The employee is occasionally required to walk; use hands to finger, handle, or feel objects, tools, or controls; and reach with hands or arms.</li><li>
The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.</li><li>
Experience and commitment to working in a racially and culturally diverse teaching and learning community</li></ul> 
Compensation:
Hourly rate of $26 per hour 
Start Date:
April 6 hours between 9 am - 2 pm, 15-25 hours per week 
Burlington's student body represents a broad range of cultures and backgrounds. Our goal is for our staff to reflect the global diversity of our student population. We welcome applications from dynamic, forward-thinking individuals who positively impact student learning and growth, are competent working in a diverse environment and reflect the diversity of our student body. 
The Burlington Public Schools prohibit sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator for students, Lisa Chen, or Title IX Coordinator for staff, Joanne Faust. The notice of nondiscrimination is located at https://www.burlingtonpublicschools.org/cms/One.aspx?portalId=70047685&amp;pageId=74582578 
Burlington Public Schools is committed to maintaining a work and learning environment free from discrimination on the basis of race, color, religion, national origin, pregnancy, and pregnancy-related conditions, gender identity, sexual orientation, marital/civil union status, ancestry, place of birth, age, citizenship status, veteran status, political affiliation, genetic information or disability, as defined and required by state and federal laws. Additionally, we prohibit retaliation against individuals who oppose such discrimination and harassment or who participate in an equal opportunity investigation.
~ We are proud to be an Equal Opportunity Employer ~</div>

College Intern, Career Pathways Burlington High School, 2025/2026

Pitney Bowes

<div>At Pitney Bowes, we do the right thing, the right way. As a member of our team, you can too. 
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.<div>
We actively look for prospects who: 
<ul><li>Are passionate about client success.</li><li>Enjoy collaborating with others.</li><li>Strive to exceed expectations.</li><li>Move boldly in the quest for superior and best in market solutions.</li></ul></div>
Job Description:
A Pitney Bowes Internship prepares students for the rigors of the working world while providing a professional and engaging learning experience. Our internships offer meaningful work with the potential to directly impact our business (learn while doing). In addition to challenging work, interns grow their professional networks. From Day 1, they have the opportunity to network with fellow interns from schools across the country as well as PB employees at all levels of the organization.
Our vision is to offer undergraduate and masters students an engaging and thought-provoking learning experience while impacting our business in a meaningful way by:<ul><li>
PROJECTS: Interns are spread throughout our businesses. Each intern manager will provide intentional learning objective goals and assign real-life projects to own and drive during the summer</li><li>
SUPPORT: Each intern will be paired up with a mentor who will provide guidance, support, and insight into The PB Way!</li><li>
PAY: The wage range for this position is $22 to $25 per hour, with the actual pay dependent on your, education level, skills and experience as they relate to the job requirements.</li><li>
JOB OFFERS: The intern program may only last 10-weeks, June 1st - August 7th, but we don&rsquo;t want the experience to end there. Our top interns are often offered extended internships or future job opportunities at Pitney Bowes</li></ul>
This internship is ONSITE in Shelton, CT. Candidates must be able to work in person for the full 10‑week program.
Join the SendTech Engineering Organization as an AI/ML Intern and work with the AI Center of Excellence and engineering teams on real projects involving machine learning, generative AI, automation, and data engineering. This internship gives you hands‑on experience, mentorship, and the chance to contribute to impactful solutions.
You Will:<ul><li>
Assist in developing and testing machine learning models for prediction, classification, and generative tasks.</li><li>
Support AI workflows through data preparation, feature exploration, and basic deployment steps.</li><li>
Build prototypes and proof‑of‑concept tools using Python and cloud technologies.</li><li>
Analyze datasets to uncover insights that support product or process improvements.</li><li>
Help document experiments and summarize model performance.</li><li>
Work with engineering mentors to troubleshoot and refine AI components.</li></ul><h2 class="jobSectionHeader">
You Bring:</h2><ul><li>
Strong Python programming skills.</li><li>
Basic understanding of machine learning concepts (e.g., supervised learning, NLP, deep learning).</li><li>
Familiarity with ML libraries such as scikit‑learn, LangGraph, TensorFlow, or PyTorch.</li><li>
Interest in generative AI, LLMs, or retrieval systems is a plus.</li><li>
Ability to work with datasets and create simple analyses or visualizations.</li><li>
Curiosity, communication skills, and a willingness to learn.</li></ul><h2 class="jobSectionHeader">
Preferred Background</h2><ul><li>
Coursework in AI, ML, Data Science, Computer Science, or related fields.</li><li>
Exposure to cloud platforms like AWS or GCP.</li><li>
Experience from school projects, research, hackathons, or personal projects.</li></ul>
We will:<ul><li>Provide the opportunity to grow and develop your career</li><li>Offer an inclusive environment that encourages diverse perspectives and ideas</li><li>Deliver challenging and unique opportunities to contribute to the success of a transforming organization</li><li>Offer comprehensive benefits globally (PB Live Well)</li></ul>
Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.
All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.</div>

Artificial Intelligence Intern

Metropolitan Transportation Authority

<div>Description 
 
Department: MTAHQ - Strategic Initiatives
 
Location: 2 Broadway, New York, NY 10004 
Position Title: Data Science, Emerging Talent Intern 
Hourly Rate: $19.00 (Undergraduate), $21.00 (Graduate) 
 
All internship positions are onsite and require regular, in-person attendance at the designated work location. 
 
OVERVIEW OF DEPARTMENT: 
The MTA Data &amp; Analytics team builds and operates the MTA's core data infrastructure, develops internal and public-facing data products, and supports executive decision-making on the MTA's highest-impact initiatives. The team owns core data pipelines, the MTA Open Data Program, and advanced analyses spanning ridership, operations, revenue, and policy evaluation. 
 
RESPONSIBILITIES: 
<ul><li>
Writing and maintaining code to clean, combine, and transform large operational datasets.</li><li>
Conducting exploratory and structured analyses to answer questions from MTA leadership</li><li>
Working with SQL, Spark, Python, and other analytical tools as project needs dictate.</li><li>
Monitoring, validating, and improving production data pipelines for accuracy, reliability, and maintainability using Apache Airflow.</li><li>
Translating exploratory analyses into durable, well-documented datasets.</li><li>
Authoring presentations and written documentation that clearly communicate findings to both technical and non-technical audiences.</li><li>
Build dashboards using tools like Power BI and Mode Analytics to visualize data for stakeholders.</li><li>
Collaborating thoughtfully, kindly, and enthusiastically with analysts, planners, engineers, executives, and operations staff across the MTA.</li></ul> 

PROJECTS: 
 
The specific projects the intern will work on are to be determined, based on the needs of the Data &amp; Analytics team and the skills and interests of the hired intern. Some example projects include: 
<ul><li>
Bus Speed &amp; Customer Experience Analysis. Analyze bus speeds, reliability, and variability across New York City to identify bottlenecks, service gaps, and opportunities to improve customer experience.</li><li>
In-Field Hardware &amp; Sensor Performance. Analyze telemetry and event data from fare payment validators, buses, and subway infrastructure to assess hardware reliability, detect failures, and surface operational risk.</li><li>
Congestion Pricing Impact Analysis. Measure the ongoing effects of congestion pricing on travel behavior, traffic conditions, transit ridership, and revenue.</li>
Staff Scheduling &amp; Optimization. Analyze workforce schedules, service plans, and operational constraints to deliver better service quality for customers. 
<li>
</li></ul> 
 
REQUIRED QUALIFICATIONS:<ul><li>
Proficiency in Microsoft Office Suite is a must.</li><li>
The candidate should possess organizational, analytical and communication skills.
</li><li>The candidate should be able to work well under pressure and prioritize tasks effectively.</li><li>
The candidate should have a keen eye for detail and be able to work independently while being an active team player.</li><li>
Strong data analytic skills, understanding of analytical methods (e.g., probability and statistics, algorithm design).</li><li>
Strong experience in Python or SQL coding.</li><li>
Experience in analytic tooling such as Excel, Power BI, Tableau, or Mode Analytics.</li><li>
Experience coding, documenting processes, and performing data quality checks.</li><li>
Knowledge of and preferably some experience in data engineering. Experience with Apache Airflow especially valuable.</li></ul> 

REQUIRED EDUCATION:<ul><li>
Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in a graduate program in good standing with at least 2.8 GPA</li>
Major(s) Preferred: Computer Science, Data Science, Transportation, Urban Science and Informatics, Economics, Statistics, or related field. 
<li>
</li></ul> 
 
All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted. 
 
Equal Employment Opportunity 
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Data Science, Emerging Talent Intern (Summer)

NASDAQ

<div>About Our Internship Program 
 
Nasdaq&rsquo;s Internship Program is a 10-week summer experience designed to give students real exposure to how global markets and technology come together. Our interns work on meaningful projects alongside Nasdaq teams, gaining hands-on skills that make an impact on the business. 
 
We believe the best way to learn is by doing &mdash; that&rsquo;s why you&rsquo;ll be paired with a mentor, connected with senior leaders, and included in professional development sessions. You&rsquo;ll also join a diverse global intern community, sharing experiences and building networks that last beyond the program. 
 
Our goal is to provide a supportive, engaging, and fun environment where your work feels valued and your growth comes first. Check out our Nasdaq Internship Program page to learn more and hear directly from past interns about their journeys.<div></div><div>
We are seeking a motivated and curious Data Science Summer Intern to join our team and contribute to impactful, data-driven projects. In this role, you will work alongside an experienced Research &amp; Development team to analyze large datasets, build predictive models, and develop actionable insights using tools such as Python, R, or SQL. This is an excellent opportunity for a student pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in a fast-paced, collaborative environment.</div><div></div><div> 
At Nasdaq, you&rsquo;ll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you&rsquo;ll support [team/business area] and gain hands-on experience with [specific products/projects/clients].</div><div></div><div> 
You don&rsquo;t need to know everything on day one &mdash; we&rsquo;ll help you build the skills, confidence, and network to grow your career.</div><div></div><div>
What You&rsquo;ll Do</div><div></div><ul><li> 
 Support the R&amp;D team with day-to-day analytical tasks and contribute to ongoing modeling and research initiatives</li><li> Learn how to build, validate, and deploy machine learning models using industry-standard tools such as Python, SQL, and cloud-based platforms.</li><li> Collaborate with teammates across Product, Sales and Data Operations to deliver end-to-end data solutions.</li><li> Bring your ideas and curiosity to real-world problem-solving by exploring datasets, identifying trends, and presenting findings to stakeholders</li><li> Develop your technical and professional skills through hands-on project work, code reviews, and mentorship from experienced data scientists.</li></ul><div></div><div> 
What You&rsquo;ll Bring</div><div></div><ul><li> 
 Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field.</li><li> Foundational knowledge of programming languages such as SQL, Python or R, with exposure to data manipulation, Large Language Models and exploratory data analysis</li><li> Eagerness to learn, ask questions, and apply academic knowledge to real-world data challenges in a professional setting</li><li> Ability to think analytically and communicate findings clearly to both technical and non-technical audiences.</li><li> Curiosity about machine learning, artificial intelligence, and the role of data in driving business decisions.</li></ul><div></div><div>
Nice-to-Have</div><div></div><ul><li> 
 Project experience related to data science, machine learning, or statistical analysis, such as academic research, data competitions, or personal data projects.</li><li> Involvement in student organizations, hackathons, volunteering, or leadership roles that demonstrate initiative, teamwork, and a passion for data and technology</li><li> Familiarity with specific tools or technologies such as PowerBI, Snowflake, Databricks, Fabric, AWS</li></ul><div></div><div>
This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.</div><div></div><div>
Come as You Are</div><div></div><div>
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.</div><div></div><div>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.</div></div><div></div>

Data Science Intern - 2026 Summer Intern

Cass Information Systems

<div>The Information Technology Intern assists the Information Technology team with administration, maintenance, development and/or implementation of products.

PRINCIPAL RESPONSIBILITIES AND DUTIES:
<ul>
<li>Takes participatory role in various IT tasks which aligns with course of study and education under the direct guidance of a member of the IT Leadership Team.</li>
<li>The intern will learn to perform duties and assist in tasks which may include:
<ul><li>Assist in troubleshooting and providing support to end users.</li>
<li>Assist in installing, configuration and maintain workstation-based hardware and software.</li>
<li>Assist in developing reports, queries, interfaces and applications.</li>
<li>Perform coding activities and complete defect resolutions.</li>
<li>Assist in entering and validating data and reporting.</li>
</ul>
</li></ul>SKILLS AND ABILITIES REQUIRED:
<ul>
<li>Basic analytical skills to analyze technical events.</li>
<li>Basic technical knowledge of Microsoft Windows Operating Systems.</li>
<li>Introductory knowledge of networking fundamentals including TCP/IP, Routing and</li>
<li>Strong written and verbal communication skills.</li>
<li>Ability to work effectively with a team.</li>
</ul>
MINIMUM LEVEL OF PREPARATION AND TRAINING NORMALLY REQUIRED:
<ul>
<li>Pursuing Bachelor&rsquo;s degree in Computer Science, Information Systems or related field.</li></ul> 


APPLICATION PROCESS:

You can directly apply through Cass's website at https://www.cassinfo.com/careers. Please apply directly to this position via the &ldquo;Apply&rdquo; button. You will be required to create an account and provide your resume, contact information and other pertinent employment information. This process typically takes 20 minutes or less. Should we find that you meet the minimum requirement of the position, a member of our recruiting team will be in touch to start the interview process.

ABOUT OUR COMPANY:

Cass Information Systems, Inc. (NASDAQ: CASS) is a leading provider of integrated information and payment management solutions. Cass enables enterprises to achieve visibility, control and efficiency in their supply chains, communication networks, facilities, and other operations. Disbursing over $94 billion annually on behalf of its clients, and with total assets of $2.4 billion, Cass is uniquely supported by Cass Commercial Bank. Founded in 1906 and a wholly-owned subsidiary, Cass Commercial Bank provides sophisticated financial exchange services to the parent organization and its clients. Cass was recently named as one of America&rsquo;s best midsize companies by a leading publication and is part of the Russell 2000&reg;.

More information is available at www.cassinfo.com.</div>

Intern, IT

Sigma Squared

<div>
 
 Overview
 
 
 
 Sigma Squared is a talent optimization platform that identifies, isolates, and embeds productivity insights into hiring, operations, and management workflows. We are seeking a curious and motivated Software Engineering Intern to join our team this Summer. You&rsquo;ll work directly alongside our team of software engineers and data scientists to build production-grade software that helps leaders in Hospitality, Law Enforcement, and Enterprise sectors turn workforce data into performance intelligence. Our internship program is an onsite, full-time role designed for students who want to bridge the gap between academic theory and high-impact startup engineering. Flexible for students looking for a co-op cycle as well.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Feature Development: Build and ship high-quality code across our platform (full-stack).
 </li>
 <li>
 Collaboration: In addition to partnering alongside a group of senior software engineers, you'll also work with product, design, &amp; data science to ship new features.
 </li>
 <li>
 Tooling &amp; Infrastructure: Help build and improve internal tools that streamline the workflows of our engineering and data science teams.
 </li>
 <li>
 Code Quality: Participate in code reviews and learn to write testable, maintainable code within a robust CI/CD environment.
 </li>
 <li>
 AI Integration: Explore the use of LLMs to help automate parts of the data transformation and ingestion process.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Academic Background: Currently pursuing a Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Technical Proficiency: Strong foundational knowledge in at least one programming language (preferably TypeScript or Python).
 </li>
 <li>
 Disposition: A friendly, flexible, and inquisitive mindset with a desire to learn.
 </li>
 <li>
 Location: Must be able to work on-site full-time at our Cambridge, MA office for the duration of the internship/co-op.
 
 
 </li>
 </ul>
 
 Technologies We Use
 
 
 
 Know some of these already? Great! Don't? We'll teach you!
 
 
 <ul>
 <li>
 Full-Stack: TypeScript, Node.js &amp; React
 </li>
 <li>
 Hosting: Amazon Web Services - CloudFormation, Lambda, Batch, ECS, S3, etc.
 </li>
 <li>
 Databases: DynamoDB
 </li>
 <li>
 Data Science: Python, pandas
 
 
 </li>
 </ul>
 
 More About Us...
 
 
 
 Sigma Squared helps firms unleash productivity by putting data at the center of every decision. We combine econometrics and a flexible, modular platform to transform the way organizations recruit, hire, retain, promote, and develop their frontline workforces. By delivering actionable insights, integrated tools, and measurable financial impact, we empower enterprises to optimize hiring and promotion paths, unlocking the full potential of their people while driving meaningful business outcomes. To learn more about Sigma Squared, visit sigmasquared.io
 
 
</div>

Software Engineering Intern

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