INTERNSHIP DETAILS

Data Scientist Intern

CompanySCH SERVICES INC
LocationUnited States
Work ModeRemote
PostedFebruary 13, 2026
Internship Information
Core Responsibilities
The intern will design, develop, and deploy machine learning models for various applications, including predictive analytics and LLM agents, while working with large datasets for cleaning and analysis. Responsibilities also include developing scalable data processing pipelines and communicating findings to technical and non-technical audiences.
Internship Type
full time 1.0
Company Size
2
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
SCH Services provides leadership and shared services support for all operating companies in the SCH Capital Holdings, Inc. family of brands, including SullivanCotter, C3 Nonprofit Consulting Group, Clinician Nexus, and Lotis Blue, and others. Business Units: https://sullivancotter.com https://cliniciannexus.com https://c3nonprofitconsulting.com https://lotisblueconsulting.com
About the Role

This is a remote role; however, we currently operate in the following states: AZ, FL, GA, IL, IN, MA, MI, MN, MO, NC, NJ, NY, OH, PA, TX and WI. You must reside in one of these states in the summer of 2026 to be eligible for this role. 

ABOUT US AND ABOUT YOU 

Clinician Nexus enables health care organizations to build thriving clinician teams with industry-leading technology products, workforce and compensation analytics, and automated workflow solutions. Backed by extensive technical expertise and industry-leading data, we deliver innovative approaches to help clients plan, educate, and engage their clinical workforce at every stage of the lifecycle. We are committed to providing our clients with outstanding guidance and support as they work to shape the future of health care.   

JOB SUMMARY

We are seeking a motivated Data Scientist Intern to join our team for the summer. This internship offers hands-on experience working with real-world data challenges and the opportunity to contribute to impactful projects. The intern can choose to focus on either the Modeling Track or the Machine Learning Engineering Track, based on their interests and career goals.

PRIMARY ACCOUNTABILITIES

  • Design, develop, and deploy machine learning models for a variety of applications, which may include predictive analytics, classification, clustering, recommendation systems, and LLM agents.
  • Work with large datasets to clean, preprocess, and analyze data, ensuring data quality and integrity.
  • Implement and optimize algorithms using best practices in machine learning, deep learning, and statistical analysis.
  • Collaborate with senior data scientists and business stakeholders to understand requirements and deliver data-driven solutions that provide actionable insights.
  • Develop scalable pipelines and infrastructure for data processing and model training, versioning, deployment, and monitoring.
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and relationships within data.
  • Evaluate the performance of machine learning models and tune models for optimal performance.
  • Communicate findings, insights, and model performance to both technical and non-technical audiences.

KNOWLEDGE, SKILLS AND ABILITIES 

Minimum Required Qualifications


Master's Degree: Pursuing a degree in Data Science, Computer Science, Statistics, Machine Learning, or related field. Must have completed at least one course in each of the following areas: statistics, machine learning, and computer science

  • Proficiency in Python
  • Excellent problem-solving skills, analytical thinking, and the ability to work in a fast-paced environment
  • Strong communication skills

Behavioral

  • Collaborator: work effectively with others, including domain experts, engineers, and business stakeholders
  • Inquisitive: desire to ask questions and get a deeper understanding of issues
  • Innovative: ability to imagine new analytical solutions to any problem
  • Confident: able to challenge perceptions and biases of individuals at every level of the organization.
  • Curious: stays abreast of current and upcoming technologies and tools
  • Business-oriented: ability to develop a solid understanding of business requirements and vernacular

Preferred Qualifications

  • Proven experience in machine learning, statistical modeling, and data analysis, either through original personal or course project(s), or previous internship.
  • Strong programming skills in Python
  • Experience working in a cloud environment, especially experience with Databricks
  • Familiarity with LLM architectures and Generative AI

WORK ENVIRONMENT 

This role is fully remote. Must be physically able to perform the essential functions of the job. 

This role will pay $30 per hour. 

Our Values in Action: How We CARE

We live our values daily through four commitments:

  • Connect: Collaborate selflessly to support others, advance ideas, and solve problems using critical thinking.
  • Act: Bring integrity and respect to every interaction—no exceptions.
  • Reach: Commit to continuous learning and knowledge sharing that strengthens teams and clients.
  • Embrace: Foster inclusion and belonging so everyone can thrive and contribute.


SullivanCotter Holdings, Inc. is an Equal Employment Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law or marital status.

Key Skills
PythonMachine LearningData AnalysisPredictive AnalyticsClassificationClusteringRecommendation SystemsLLM AgentsData PreprocessingAlgorithm OptimizationDeep LearningStatistical AnalysisExploratory Data AnalysisModel EvaluationData Pipeline DevelopmentGenerative AI
Categories
Data & AnalyticsScience & ResearchTechnologyHealthcareSoftware