Internship Data Science Analytics Jobs in Arizona

In the role of Student Assistant - Data Science at ASU Enterprise Partners, you will contribute to the development and deployment of data science and AI solutions that create measurable business value.These may include analyses, predictive models, AI-enabled applications, automations, and other solutions designed to create business value.You will have the opportunity to explorenew technologiesand approaches, develop practical skills through hands-on experience, and make meaningful contributions to larger data science and AI initiatives with the support of experienced team members.

Your work will focus on developing and supporting data science and AI solutions that create measurable business value. We strive to align assignments with each student's technical background and areas of interest while providing opportunities to build new skills through hands-on experience. Projects may involve activities such as developing and validating queries, evaluating AI-generated outputs, supporting predictive models and deployed solutions, improving analytical workflows, or contributing to other initiatives that advance organizational goals.

Student employees are valued members of the Applied Data Science and Analytics (ADSA) team andhave the opportunity tocontribute to meaningful initiatives while expanding the technical and professional skills that support future careers in data science, analytics, artificial intelligence, and related fields.

This positionrequiresapproximately 20 hours per week.This is a hybrid position, with an expectation that the student works approximately 12 of the 20 weekly hours on-site.

• Solution Development:Contribute to the development, testing, and refinement of data science, analytics, automation, and AI solutions that support businessobjectives.

• Analysis & Evaluation:Assist with data analysis, solution testing, validation, and evaluation activities that support the delivery of effective solutions.

• Solution Design & Implementation:Support the design and implementation of data-driven and AI-enabled solutions that create measurable business value.

• Deployment & Integration:Assist with deploying, integrating, testing, andmaintainingsolutions to ensure they are reliable, scalable, and effective.

• Collaboration:Partner with members of the Applied Data Science and Analytics (ADSA) team and other stakeholders to support organizationalobjectives.

• Technology Application:Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.

• Continuous Improvement:Help evaluate solution performance and contribute to ongoing enhancements based on business needs, feedback, and evolving technologies.

• Communication:Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.

• Technical Foundation:Experiencewith Python, SQL, and other data analysis, or technical tools commonly used in data science, analytics, software development, or artificial intelligence.

• Analytical Thinking:Ability to evaluate information, break down complex problems, and contribute to data-driven and technology-enabled solutions.

• Problem Solving:Demonstratedcuriosity, critical thinking, and a willingness to learn new concepts, tools, and approaches.

• Quantitative Reasoning:Comfort working with data and applying quantitative or computational methods to practical problems.

• Technical Learning Agility:Interest in exploring and applying emerging technologies, methodologies, and tools in support of businessobjectives.

• Communication Skills:Ability to communicate technical concepts, progress, findings, and recommendations clearly to both technical and non-technical audiences.

• Collaboration:Willingness to work effectively as part of a team, contribute to shared goals, and engage constructively with feedback.

• Adaptability:Ability to work across a variety of projects and responsibilities while balancing competing priorities and evolving requirements.

• Currently enrolled in a Bachelor's, Master's, or other graduate degree program at Arizona State University in a technical, quantitative, or analytical discipline, ora relatedfield.Must have an expected graduation date of Fall 2027 or later.

• Has developed foundational knowledge and skills relevant to data science, analytics, software development, artificial intelligence, or related areas through coursework, projects, research, or practical experience.

• Completion of an internship, research project, capstone, student organization project, or other hands-on experience involving data analysis, software development, artificial intelligence, analytics, automation, or related technical work.

• Experience contributing to the development, testing, deployment, or support of technical solutions in academic, research, extracurricular, or professional settings.

• Technical Experience:Exposure toprogramming, data analysis, cloud technologies, artificial intelligence, automation, or related technical disciplines through coursework, projects, research, internships, or personal initiatives.

• Data & Analytics Experience:Familiarity with working with structured or unstructured data to support analysis, reporting, decision-making, or solution development.Exposure to Google Analytics (GA4) is a plus.

• Artificial Intelligence Exposure:Exposure to modern artificial intelligence concepts, tools, or applications and an interest in their practical use to solve real-world problems.

• Cloud & Technology Platforms:Familiarity with cloud-based or distributed computing environments and an understanding of how technology components can be integrated to support scalable solutions.Experience with Google Cloud Platform (GCP) andBigQueryis a plus.

• Solution Development Mindset:Interest in designing, building, testing, and continuously improving technical solutions that create measurable value.

• Continuous Learning:Demonstratedenthusiasm for learningnew technologies, methodologies, and approaches and applying them to evolving business challenges

ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions.

At ASU Enterprise Partners

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ASU and one another with integrity,trustand compassion

We engage

step up, own it, collaborate

We innovate.

continuously, fearlessly, make decisions and take risks

We care

that everyone feels respected and valued for who they are