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Information Technology 🏢 Internship ⭐️ Verified

Paid Data Science Intern - Summer/Fall Start

InnovateTech Solutions
Indianapolis
Estimated Salary
USD 22 – USD 22
New
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Join InnovateTech Solutions for an immersive paid internship in Indianapolis! We're seeking motivated students to join our data science team immediately for Summer or Fall 2023. This hands-on role offers real-world experience with cutting-edge analytics tools while working on impactful projects for Fortune 500 clients. Enjoy flexible scheduling, mentorship from industry experts, and potential conversion to full-time roles.

What makes this internship exceptional:

  • Competitive hourly compensation with performance bonuses
  • Direct exposure to machine learning and AI implementation
  • Professional development workshops and networking events
  • Hybrid work environment with modern downtown office
  • Immediate start date available

Responsibilities

  • Analyze large datasets using Python and SQL to identify business trends
  • Develop predictive models for client optimization projects
  • Create interactive data visualizations using Tableau and Power BI
  • Collaborate with cross-functional teams on product roadmaps
  • Present findings to executive stakeholders through compelling narratives
  • Document methodologies and code for reproducibility
  • Test and deploy ML pipelines in cloud environments

Qualifications

  • Currently pursuing Bachelor's or Master's in Data Science, Computer Science, Statistics, or related field
  • Proficiency in Python (Pandas, NumPy) and SQL
  • Experience with statistical analysis and hypothesis testing
  • Familiarity with machine learning frameworks (scikit-learn, TensorFlow)
  • Strong problem-solving skills with attention to detail
  • Ability to manage multiple projects with deadlines
  • Excellent written and verbal communication skills
  • Available for 20-40 hours/week through Fall 2023

Required Skills

Python SQL Machine Learning Data Visualization Statistical Analysis Cloud Computing Data Mining Communication

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