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Predictive Analytics Intern Jobs in Troy, NY (NOW HIRING)

Predictive Analytics Intern information

What does a predictive analytics intern do?

A Predictive Analytics Intern assists organizations by analyzing data to forecast future trends and outcomes. They use statistical techniques, machine learning models, and data visualization tools to interpret large datasets and generate actionable insights. Typically, these interns work under the guidance of experienced data scientists or analysts, contributing to projects such as demand forecasting, customer behavior analysis, or risk assessment. Their role also involves cleaning and preparing data, running predictive models, and helping to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a predictive analytics intern?

To thrive as a Predictive Analytics Intern, you need a solid background in statistics, data analysis, and familiarity with programming languages such as Python or R, often supported by coursework in data science or related fields. Experience with tools like SQL, machine learning libraries (e.g., scikit-learn), and data visualization platforms (such as Tableau or Power BI) is typically expected. Strong problem-solving, attention to detail, and effective communication skills help interns stand out when interpreting and presenting data-driven insights. These competencies are crucial for deriving actionable predictions and supporting business decisions through accurate, well-communicated analyses.

How does a predictive analytics intern typically collaborate with different departments within a company?

As a Predictive Analytics Intern, you will often work closely with teams such as marketing, operations, and IT to gather data, understand business needs, and present analytical findings. Collaboration usually involves attending cross-functional meetings, sharing data-driven insights, and helping stakeholders interpret predictive models for practical decision-making. This role provides valuable exposure to real-world business challenges and helps you develop communication skills that are essential for translating complex analytics into actionable recommendations.

What is the difference between Predictive Analytics Intern vs Data Analyst Intern?

AspectPredictive Analytics InternData Analyst Intern
Required SkillsStatistical analysis, programming (Python, R), data modelingData visualization, SQL, basic statistical skills
Work EnvironmentTech companies, finance, marketing teamsBusiness departments, consulting firms, tech companies
Typical TasksBuilding predictive models, analyzing trends, forecastingData cleaning, reporting, creating dashboards

Predictive Analytics Interns focus on developing models to forecast future outcomes using statistical techniques, while Data Analyst Interns primarily analyze and visualize existing data to support decision-making. Both roles require strong analytical skills but differ in their technical focus and project types.

What job categories do people searching Predictive Analytics Intern jobs in Troy, NY look for?

The top searched job categories for Predictive Analytics Intern jobs in Troy, NY are:

What cities near Troy, NY are hiring for Predictive Analytics Intern jobs?

Cities near Troy, NY with the most Predictive Analytics Intern job openings:

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

Lthc

Albany, NY

$21 - $23/hr

Part-time

Medical, Dental, Retirement

Posted 2 days ago

New


Job description

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 CDPHP 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.