College Intern - AI Engineering - Fall 2026 (Multiple Openings)

Excellus Health Plan Inc. in; City of Rochester (NY); On-site; USD 25,000 - 32,000; Part time

Benefits offered by this job

Paid internship

Case-by-case remote option

Job summary

Excellus Health Plan Inc. invites college interns to join the AI Engineering track for Fall 2026. This paid internship offers mentorship, development workshops, and hands-on work on impactful projects across IT, analytics, finance, and more.

Interns explore scaling models for chronic conditions, extract and leverage clinical data, and enhance NLP/ML solutions while ensuring CMS coding compliance. You\'ll work with a mentor and deliver a final presentation, gaining exposure to a broad set of

Qualifications

• Majors include data science, AI engineering, statistics, mathematics, software engineering, CS or similar degree program.
• Preferences include programming, statistics, advanced modeling, NLP, deep learning, agentic AI, and/or LLM.
• Must be in good academic standing with ongoing full-time enrollment.

Responsibilities

• Scale current models to better identify and stratify chronic conditions and HCCs.
• Extract and leverage clinical data.
• Enhance NLP/ML solutions with robust AI and CMS compliance.

Skills

Data Science

AI Engineering

Statistics

NLP

Deep Learning

LLM

Programming

Education

High School diploma + continuous college enrollment

Tools

Microsoft Office Suite

Job description

College Intern - AI Engineering - Fall 2026 (Multiple Openings) (Finance)

Job Description:

Fall 2026 Internship

The Fall College Internship Program is a paid co‑op/internship experience that provides undergraduate and graduate students the opportunity to attend development workshops, network, and be part of our company. Our college interns work on meaningful projects, are mentored under their respective managers, and continue to develop throughout the entire fall. In addition, through the internship program, our interns can attend development workshops that are focused on key business concept. Interns may work within the skills‑based tracks of Information Technology, Business Administration, Actuarial, Human Resources, Analytics & Data, Communications, Finance, Marketing & Sales, Project Management, Clinical Studies, Customer Experience, Digital Operations, and other non-technical and/or technical based degree programs.

• This is a paid internship/co‑op.
• May reside in either a technical or non-technical area.
• Housing is not provided as part of our internships/co-ops.

Essential Accountabilities:

• Specific duties will vary with assignment; specific divisional callouts are listed below.
• Interns will explore scaling current existing models to better identify and stratify complex chronic conditions and Hierarchical Condition Categories (HCCs), enabling proactive and data-driven population health features
• Extract and leverage clinical data
• Interns will enhance and optimize traditional NLP and ML solutions with robust AI to significantly boost predictive accuracy and ensure robust coding compliance to CMS
• Works with a mentor and supports key strategic projects.
• Responsible for work assignments and possible responsibilities that vary according to business need and departmental opportunities, in addition to student's qualifications.
• Functions performed are non-technical and/or technical in nature and will cover a broad range of business-related projects.
• Creates and delivers presentation at completion of internship.
• Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies' mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.
• Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.
• Regular and reliable attendance is expected and required.
• Performs other functions as assigned by management.

Minimum Qualifications:

• Desired majors include Data Science, AI Engineering, Statistics, Mathematics, Software Engineering, Computer Science or similar degree program.
• Preferred skills or experience with: Programming, Statistics, Advanced Modeling, Natural Language Processing (NLP), Deep Learning, Agentic AI, and/or LLM
• High School diploma along with proof of continuous college enrollment (enrolled in a full-time undergraduate or graduate degree program).
• Must be in good academic standing.
• Excellent communication skills both verbal and written with the ability to communicate to technical and non-technical audiences and interface with staff at all levels of the company.
• Ability to work in a fast-paced changing environment and deliver high-quality work product.
• Ability to work well in a team establishing good working relationships with peers.
• Ability to multitask and prioritize tasks with a strong attention to detail.
• Experience using a desktop computer in a professional environment.
• Experience with Microsoft Office Suite.
• Demonstrates strong organizational and prioritization skills.
• Strong analytical and problem-solving skills.
• Proactive approach to work, displaying creativity and flexibility in completing assigned tasks.
• Commitment to continuous improvement of skills and team functioning.
• Must be self-motivated and able to work independently, as well as on intra- and inter- departmental teams where needed.

Physical Requirements:

• Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.
• Ability to travel across the Health Plan service region for meetings and/or trainings as needed.

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In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I - Minimum $18.00 - Maximum $20.00

Levell II - Minimum $21.00 - Maximum $23.00

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position's minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.