Telematics Intern / Predictive Analytics Intern - Summer 2027
Quick Summary
Analyze data to identify trends, patterns, relationships, and insights that support business decisions. Assist with the development, testing, validation,
Data Science, Data Analytics, Business Analytics, Actuarial Science, Computer Science, Information Systems, or a related discipline. Available to work full time during Summer 2027,
Responsibilities
~1 min readDepending on team placement and project needs, responsibilities may include:
- →Analyze data to identify trends, patterns, relationships, and insights that support business decisions.
- →Assist with the development, testing, validation, and enhancement of analytical models and solutions.
- →Develop, evaluate, and improve structured and unstructured data sets to support analytics projects.
- →Use analytical and programming tools to explore data, conduct analysis, and communicate findings.
- →Collaborate with analytics, technology, and business partners to understand business needs and develop analytical approaches.
- →Support projects involving predictive analytics, statistical analysis, telematics data, or other advanced analytics applications.
- →Apply best practices related to data quality, accuracy, testing, and documentation.
- →Document analytical processes, methodologies, and findings.
- →Independently complete assigned tasks while receiving guidance and mentorship from experienced BD&A professionals.
- →Participate in learning, networking, and professional development opportunities.
- →Perform other duties as assigned in support of BD&A initiatives.
Requirements
~1 min read- Field of Study: Data Science, Data Analytics, Business Analytics, Actuarial Science, Computer Science, Information Systems, or a related discipline.
- Available to work full time during Summer 2027, beginning May 17th
Nice to Have
~1 min read- Experience working with structured data sets of varying size and shape.
- Introductory experience with Python, R, SQL, or similar analytical or programming tools.
- Basic understanding of statistics, data analysis, or analytical problem-solving.
- Exposure to predictive modeling, machine learning, statistical analysis, or related concepts.
- Ability to identify patterns and draw conclusions from data.
- Exposure to data visualization or tools used to communicate analytical findings.
- Demonstrated skills in problem solving, attention to detail, accuracy, and time management
- Ability to work independently while collaborating effectively with team members and business partners.
- Introductory experience with Generative AI coding with agentic harnesses or turn-based chats
- Experience working on team projects, student organizations, or other activities that demonstrate leadership, collaboration, and organizational skills.
What We Offer
~1 min readWe offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
Location & Eligibility
About this job
- Who can apply
- United States
- Posted
- 1 day ago
Listing Details
- Posted
- November 9, 2026
- First seen
- November 9, 2026
- Last seen
- November 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- November 9, 2026
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