Data Science Intern - SaaS Customer Experience Analytics at Nasuni Corporation

Wayne State University; 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 software company is looking for a Data Science Intern focused on the Customer Experience team. The intern will build predictive models, analyze customer datasets, and design proactive frameworks that enhance customer health and retention. Ideal candidates are pursuing a Master’s in Data Science or a related field, with strong skills in machine learning, Python, and SQL. Benefits include structured mentorship and project ownership within a collaborative hybrid work environment located in Boston.

Qualifications

• Strong foundation in machine learning and predictive modeling.
• Proficiency in Python with relevant libraries.
• Ability to communicate analytical insights clearly.

Responsibilities

• Develop predictive models for customer health risks.
• Analyze product usage to identify growth potential.
• Design AI-driven frameworks for 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

AWS

Job description

Data Science Intern – Customer Experience (AI & Proactive Customer Health and Insights)

Location: Boston Seaport or Marlborough, MA (Hybrid – 3 days/week onsite)

Duration: June 1, 2026 – August 7, 2026 (10 weeks)

Nasuni is seeking a Data Science Summer Intern to join our Customer Experience (CX) organization. This role is designed for a Master’s-level student with a passion for applying artificial intelligence and machine learning to real-world business challenges within a SaaS environment.

This is a highly hands‑on internship focused on building real solutions rather than passive research. The intern will analyze complex customer datasets, develop predictive models, and help design proactive frameworks that improve customer health, retention, and expansion opportunities.

Key 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.

Additional 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).

Benefits

• Structured onboarding and mentorship
• Hands‑on project ownership
• Exposure to enterprise marketing and communications programs
• A collaborative Boston Seaport office environment

Nasuni is an equal opportunity employer. The equal employment opportunity policy at Nasuni protects employees and job applicants from discrimination on the bases of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non‑merit based factors. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, and training and career development programs.