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Information Technology 🏢 Internship ⭐️ Verified

Paid Data Science Intern - Immediate Hire

TechInnovate Solutions
San Jose
Estimated Salary
USD 22 – USD 28
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join TechInnovate Solutions' award-winning data team and transform your academic skills into real-world impact! We're seeking a passionate Data Science Intern to support cutting-edge AI projects driving innovation across healthcare and fintech. This paid, immediate-hire internship offers mentorship from industry leaders, flexible scheduling, and potential full-time conversion. Work in our state-of-the-art San Jose headquarters with collaborative teams using Python, SQL, and cloud technologies. Apply today to accelerate your career in data science!

Responsibilities

  • Analyze large datasets using Python, SQL, and visualization tools to identify business trends
  • Develop machine learning models for predictive analytics and data-driven decision making
  • Create interactive dashboards using Tableau or Power BI for stakeholder reporting
  • Collaborate with engineering teams to integrate data solutions into production systems
  • Document methodologies and present findings to senior leadership
  • Participate in Agile sprint planning and code reviews
  • Research emerging AI/ML techniques and propose implementation opportunities

Qualifications

  • Currently pursuing BS/MS in Data Science, Computer Science, Statistics, or related field
  • Proficiency in Python (Pandas, NumPy) and SQL for data manipulation
  • Experience with statistical analysis and machine learning frameworks (scikit-learn)
  • Familiarity with cloud platforms (AWS/GCP/Azure) and data warehousing concepts
  • Strong problem-solving skills with attention to detail
  • Ability to communicate complex technical concepts to non-technical audiences
  • Authorized to work in the US without sponsorship
  • Available for 20-40 hours/week through December 2023

Required Skills

Python SQL Machine Learning Data Visualization Statistical Analysis AWS Agile Methodologies

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