General Description

This individual will participate in a part-time internship program, working 40 hours per week for a period of approximately four months. The intern will engage in data science projects with a focus on computer vision and natural language processing (NLP). They will gain exposure to real-world medical data science use cases, utilize cutting-edge AI technologies such as Large Language Models, and have an opportunity to work in a cloud-based Azure environment. Projects may include data preprocessing, model training, evaluation, deployment, data visualization, and other assigned tasks.

Responsibilities

The intern may be assigned a wide variety of tasks depending on department workload and priorities, as well as the individual’s strengths, skillset, and background. Tasks may vary from routine work to complex, multi-step projects. Specific responsibilities include:

& Solving real world Dental Insurance data challenges using AI technologies

& Engaging in data preprocessing, model training, evaluation, and deployment

& Developing and supporting automated workflows to reduce manual processes

& Building backend processes to extract, transform, and combine data from multiple sources

& Generating structured reports and templated outputs (e.g., letters, summaries) from data

& Utilizing computer vision and NLP techniques as required by the projects

& Collaborating with team members to ensure project goals are met

& Visualizing data and presenting findings to stakeholders

Education, Skills, Personal Attributes, and Experience Required

& Pursuing or completed bachelor’s degree from an accredited college required; degrees in computer science, data science, mathematics, or related fields preferred

& Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, OpenCV, NLTK, Textract) preferred

& Working knowledge of data analysis and visualization tools (e.g., Pandas, Matplotlib, Seaborn)

& Familiarity with data processing, scripting, or backend development (e.g., APIs, SQL, or data pipelines) preferred

& Experience with computer vision and/or Natural Language Processing a plus

& Experience with cloud platforms (e.g., Azure, AWS, or Google Cloud) and related services for data processing, storage, or workflow automation a plus

& Ability to independently solve complex problems

& Attention to detail and accuracy

& Strong verbal and written communication skills

& Motivated with a strong interest in learning new skills and tasks

& Ability to work independently and in a team environment

& Ability to multi-task and work under tight deadlines

& Proven subscription to the company’s core values of integrity, adaptability, service-focused, accountability, curiosity, and community.

Work Conditions

General office working conditions which may require sitting for extended periods of time

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Specific vision abilities require the ability to focus distant and near objects clearly. While performing the duties of this job, the employee is regularly required to sit, talk and hear. The employee is frequently required to use hands and arms to handle, feel and reach as well as operate a personal computer.

Disclaimer

This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of activities, duties, or responsibilities that will be required. The organization reserves the right to modify this job description at any time; including assigning or reassigning job duties.

Join our IT team as a Data Science Intern for Summer 2026 and gain hands-on experience solving real-world dental insurance challenges using AI and advanced analytics. This paid, full-time internship offers exposure to cutting-edge technologies, including computer vision, natural language processing, large language models, and cloud-based tools in Azure. You'll work alongside experienced data scientists on projects involving data preprocessing, model development, automation, and visualization. Ideal candidates are pursuing or recently completed a degree in data science, computer science, or a related field and are eager to learn in a collaborative, fast-paced environment. General Description This individual will participate in a part-time internship program, working 40 hours per week for a period of approximately four months. The intern will engage in data science projects with a focus on computer vision and natural language processing (NLP). They will gain exposure to real-world medical data science use cases, utilize cutting-edge AI technologies such as Large Language Models, and have an opportunity to work in a cloud-based Azure environment. Projects may include data preprocessing, model training, evaluation, deployment, data visualization, and other assigned tasks. Responsibilities The intern may be assigned a wide variety of tasks depending on department workload and priorities, as well as the individual's strengths, skillset, and background. Tasks may vary from routine work to complex, multi-step projects. Specific responsibilities include: - Solving real world Dental Insurance data challenges using AI technologies - Engaging in data preprocessing, model training, evaluation, and deployment - Developing and supporting automated workflows to reduce manual processes - Building backend processes to extract, transform, and combine data from multiple sources - Generating structured reports and templated outputs (e.g., letters, summaries) from data - Utilizing computer vision and NLP techniques as required by the projects - Collaborating with team members to ensure project goals are met - Visualizing data and presenting findings to stakeholders Education, Skills, Personal Attributes, and Experience Required - Pursuing or completed bachelor's degree from an accredited college required; degrees in computer science, data science, mathematics, or related fields preferred - Experience with Python and relevant libraries (e.g., Tensor. Flow, Py. Torch, Open. CV, NLTK, Textract) preferred - Working knowledge of data analysis and visualization tools (e.g., Pandas, Matplotlib, Seaborn) - Familiarity with data processing, scripting, or backend development (e.g., APIs, SQL, or data pipelines) preferred - Experience with computer vision and/or Natural Language Processing a plus - Experience with cloud platforms (e.g., Azure, AWS, or Google Cloud) and related services for data processing, storage, or workflow automation a plus - Ability to independently solve complex problems - Attention to detail and accuracy - Strong verbal and written communication skills - Motivated with a strong interest in learning new skills and tasks - Ability to work independently and in a team environment - Ability to multi-task and work under tight deadlines - Proven subscription to the company's core values of integrity, adaptability, service-focused, accountability, curiosity, and community. Work Conditions General office working conditions which may require sitting for extended periods of time Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Specific vision abilities require the ability to focus distant and near objects clearly. While performing the duties of this job, the employee is regularly required to sit, talk and hear. The employee is frequently required to use hands and arms to handle, feel and reach as well as operate a personal computer. Disclaimer This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of activities, duties, or responsibilities that will be required. The organization reserves the right to modify this job description at any time; including assigning or reassigning job duties.

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