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Information Technology 🏢 Internship ⭐️ Verified

Summer Data Science Intern

Quantum Analytics Corp
Austin
Estimated Salary
USD 20 – USD 25
New
Live Update
9 Agustus 2026
Deadline
9 Agu 2027

Job Description

Join Quantum Analytics Corp's award-winning data science team and transform your academic knowledge into real-world impact! Our 12-week summer internship program offers college credit-eligible positions where you'll work on cutting-edge AI projects while gaining invaluable industry experience. Located in Austin's vibrant tech hub, you'll collaborate with Fortune 500 clients and receive mentorship from PhD-level scientists. This full-time paid internship includes dedicated training, networking events, and potential conversion to full-time roles. Eligible for academic credit with proper university documentation.

Responsibilities

  • Analyze large-scale datasets using Python, SQL, and R
  • Develop machine learning models for predictive analytics projects
  • Create interactive data visualizations using Tableau and Power BI
  • Present findings to executive stakeholders and cross-functional teams
  • Document methodologies and contribute to technical whitepapers
  • Participate in agile development sprints and code reviews
  • Collaborate with product teams to translate insights into actionable recommendations

Qualifications

  • Currently pursuing Bachelor's or Master's in Computer Science, Statistics, Mathematics, or related field
  • Strong proficiency in Python and SQL (pandas, NumPy, scikit-learn)
  • Experience with statistical analysis and hypothesis testing
  • Familiarity with machine learning algorithms (regression, clustering, classification)
  • Excellent problem-solving and communication skills
  • Ability to work independently and in collaborative team environments
  • Available for full-time commitment (40 hours/week) May-August
  • Must be eligible for academic credit (provide documentation)

Required Skills

Python SQL Machine Learning Data Visualization Statistics Pandas Scikit-learn Tableau

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