What are the responsibilities and job description for the Data Science Intern - SaaS Customer Experience Analytics position at Nasuni?
Data Science Summer 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)
Compensation: Hourly paid internship
Role Overview
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 who is passionate about 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. Working closely with Customer Success leadership, Operations, and cross-functional teams, the intern will help transform customer data into intelligent insights that drive measurable business outcomes. This role offers exposure to modern AI techniques, customer analytics, and enterprise-scale SaaS data environments.
Key Responsibilities
Nasuni is the unstructured data foundation for enterprise teams—and the AI that supports them. We manage, protect, and activate the world’s unstructured data so organizations can work smarter, spend wisely, and create safely without limits. Our AI-ready platform helps enterprises modernize file infrastructure—supporting secure collaboration, resilience, and intelligent automation across global environments.
Why Work at Nasuni (Boston)
Based in the Greater Boston area, Nasuni brings together teams building modern cloud and data infrastructure used by enterprises worldwide. In our Boston roles, you’ll collaborate closely with cross-functional partners to ship meaningful product and customer outcomes. If you value ownership, practical problem-solving, and contributing to high-impact work inside a growing SaaS company, you’ll find strong mentorship and real responsibility here.
As An Hourly Summer Intern, You’ll Gain
In accordance with U.S. pay transparency laws, Nasuni is committed to providing visibility into compensation for all U.S.-based roles. Click HERE to view our compensation ranges by job grade. Actual compensation will be based on a variety of factors, including a candidate’s experience, skills, education, and work location.
To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.
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.
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, “Nasuni”) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.
Location: Boston Seaport or Marlborough, MA (Hybrid – 3 days/week onsite)
Duration: June 1, 2026 – August 7, 2026 (10 weeks)
Compensation: Hourly paid internship
Role Overview
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 who is passionate about 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. Working closely with Customer Success leadership, Operations, and cross-functional teams, the intern will help transform customer data into intelligent insights that drive measurable business outcomes. This role offers exposure to modern AI techniques, customer analytics, and enterprise-scale SaaS data environments.
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.
- 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.
- 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).
Nasuni is the unstructured data foundation for enterprise teams—and the AI that supports them. We manage, protect, and activate the world’s unstructured data so organizations can work smarter, spend wisely, and create safely without limits. Our AI-ready platform helps enterprises modernize file infrastructure—supporting secure collaboration, resilience, and intelligent automation across global environments.
Why Work at Nasuni (Boston)
Based in the Greater Boston area, Nasuni brings together teams building modern cloud and data infrastructure used by enterprises worldwide. In our Boston roles, you’ll collaborate closely with cross-functional partners to ship meaningful product and customer outcomes. If you value ownership, practical problem-solving, and contributing to high-impact work inside a growing SaaS company, you’ll find strong mentorship and real responsibility here.
As An Hourly Summer Intern, You’ll Gain
- 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
In accordance with U.S. pay transparency laws, Nasuni is committed to providing visibility into compensation for all U.S.-based roles. Click HERE to view our compensation ranges by job grade. Actual compensation will be based on a variety of factors, including a candidate’s experience, skills, education, and work location.
To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.
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.
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, “Nasuni”) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.