Data Science Intern - Saas Customer Experience Analytics
Nasuni
Boston, United States
Hourly pyid internship; not specified; not specifi...
On-site
Predictive models for customer health
Analyze customer usage data
Ai-driven proactive health frameworks
Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities
Job Summary
Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities.
Explore NLP and large language model (LLM) applications to extract insights from unstructured data sources such as support cases, internal notes, and customer communications.
Create visualizations, dashboards, and reports that communicate findings clearly to business leaders and CX stakeholders.
Matching Summary
Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities.
Salary
Hourly paid internship; Not specified; Not specified
Skills & Requirements
Must-have
predictive models for customer health
analyze customer usage data
AI-driven proactive health frameworks
customer health scoring methodologies
NLP and LLM applications
exploratory data analysis
Python with pandas, NumPy, scikit-learn
SQL for data analysis
Nice-to-have
customer analytics experience
churn modeling experience
BI or visualization tools
cloud environments (AWS)
Key Requirements
Master's program enrollment
Data Science, Computer Science, Statistics, Applied Mathematics, or related quantitative field
Machine learning, predictive modeling, statistical analysis foundation