Data Science Intern - SaaS Customer Experience… at Nasuni · Boston

Summary: Nasuni is seeking a Data Science Summer Intern to join our Customer Experience organization. This role is designed for a Master’s-level student who is passionate about applying artificial intelligence and machine learning to real-world business challenges within a SaaS environment. Responsibilities: - Develop predictive models to identify customer health risks, churn likelihood, and expansion opportunities - Analyze customer product usage, engagement metrics, and support data to identify early indicators of customer risk or growth potential - Design and test AI-driven frameworks for proactive customer health management - Build and refine customer health scoring methodologies using statistical analysis and machine learning techniques - Explore NLP and large language model (LLM) applications to extract insights from unstructured data sources such as support cases, internal notes, and customer communications - Conduct exploratory data analysis to uncover behavioral trends, usage patterns, and drivers of customer success - Create visualizations, dashboards, and reports that communicate findings clearly to business leaders and CX stakeholders - Present insights, models, and actionable recommendations to the Customer Experience organization at the conclusion of the internship Required 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 - Working knowledge of SQL for querying, transforming, and analyzing structured datasets - Ability to communicate complex analytical insights clearly and work effectively in a fast-paced, collaborative environment Preferred Qualifications: - Experience with customer analytics, churn modeling, or customer health scoring frameworks - Exposure to NLP, LLMs, or generative AI applications - Familiarity with BI or visualization tools such as Tableau, and experience working with cloud environments (AWS preferred) Required Skills: Machine Learning, Predictive Modeling, Statistical Analysis, Python Important Skills: SQL, NLP, Customer Analytics Nice-to-Have Skills: Cloud Environments, Visualization Tools Benefits: Structured onboarding and mentorship, Hands-on project ownership, Exposure to enterprise marketing and communications programs, Networking opportunities across departments, A collaborative Boston Seaport office environment