SaaS Data Science Intern: AI-Driven Customer Health

Austin Community College; Boston (MA); Hybrid; USD 27,552 - 41,328; Full time

Benefits offered by this job

Structured onboarding and mentorship

Hands-on project ownership

Collaborative office environment

Job summary

A technology company is seeking a Data Science Summer Intern for a hands-on internship focused on applying machine learning and AI to enhance customer experiences. The intern will analyze data, develop predictive models, and communicate insights to business leaders. Candidates should be pursuing a Master’s degree in a related field and have a strong foundation in machine learning, Python, and SQL. The internship is hybrid, allowing for three days a week onsite in Boston.

Qualifications

• Currently enrolled in a Master’s program in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
• Strong foundation in machine learning, predictive modeling, and statistical analysis.
• Proficiency in Python with experience using libraries such as pandas, NumPy, and scikit-learn.

Responsibilities

• Develop predictive models to identify customer health risks and expansion opportunities.
• Analyze customer product usage and support data to find indicators of customer risk or growth potential.
• Design and test AI-driven frameworks for proactive customer health management.

Skills

Machine learning

Predictive modeling

Statistical analysis

Python

SQL

Education

Master’s program in Data Science or related field

Tools

pandas

NumPy

scikit-learn

Tableau

Job description

A technology company is seeking a Data Science Summer Intern for a hands-on internship focused on applying machine learning and AI to enhance customer experiences. The intern will analyze data, develop predictive models, and communicate insights to business leaders. Candidates should be pursuing a Master’s degree in a related field and have a strong foundation in machine learning, Python, and SQL. The internship is hybrid, allowing for three days a week onsite in Boston.