Data Science Intern: Hands-on AI & Analytics Rotations

Allied Solutions, LLC; Carmel, Northern (IN, KY); Hybrid; USD 40,000 - 52,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Company-paid life and disability

401k options with company match

Three weeks PTO by the end of the year

Job summary

Allied Solutions is seeking a Data Science Intern to join the Data Intelligence team in Carmel, IN. This 12-week, 40-hour-per-week internship focuses on learning, development, and hands-on projects across Data Science, Data Engineering, Data Governance, and Data Analytics.

You will gain experience applying data, analytics, and AI to real business challenges, build statistical skills, and learn the enterprise data lifecycle through structured rotations.

Qualifications

• Currently enrolled as a rising Junior or Senior in an undergraduate program.
• Pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or related field.
• Foundational experience with Python, SQL, and data analysis concepts.
• Strong communication and problem-solving skills.

Responsibilities

• Assist with exploratory data analysis to identify patterns and insights.
• Support development, testing, and evaluation of predictive models and AI use cases.
• Prepare, cleanse, and transform data for analytical applications.
• Create visualizations and presentations communicating findings to stakeholders.
• Participate in rotations across Data Engineering, Data Governance, and Data Analytics.

Skills

Python

SQL

Data analysis concepts

Education

Undergraduate in Data Science/Analytics/Statistics/CS

Job description

Allied Solutions is seeking a Data Science Intern to join the Data Intelligence team in Carmel, IN. This 12-week, 40-hour-per-week internship focuses on learning, development, and hands-on projects across Data Science, Data Engineering, Data Governance, and Data Analytics.

You will gain experience applying data, analytics, and AI to real business challenges, build statistical skills, and learn the enterprise data lifecycle through structured rotations.