Summer 2027 Predictive Modeling & Data Science Graduate Intern

Highmark Health; New Mexico; Presencial; USD 36.000 - 48.000; Jornada completa

Descripción de la vacante

Highmark Health is seeking a Summer 2027 Predictive Modeling & Data Science Graduate Internship in the United States, New Mexico. This program offers hands-on experience applying statistics and machine learning to real business challenges, with mentorship from experienced data scientists and collaboration with analysts and partners.

Interns will design, develop, and evaluate analytics solutions throughout the lifecycle, exploring new data sources and techniques while building practical skills in

Formación

• Bachelor’s degree required; pursuing a graduate degree is preferred.
• Strong foundation in statistics and analytics concepts.
• Experience with data visualization and communicating insights to non-technical audiences.
• Familiarity with predictive modeling, ML methods, and data preprocessing.

Responsabilidades

• Communicate effectively with business partners to understand questions and translate them into data work.
• Support end‑to‑end analytics lifecycle from data exploration to model delivery.
• Develop and evaluate predictive models and visualizations to inform decisions.
• Prepare and transform data; document methods and results for stakeholders.
• Research new analytical approaches and sources of data as needed.
• Collaborate with mentors and cross‑functional teams on projects.
• Contribute to reporting and storytelling of findings and recommendations.

Conocimientos

Predictive modeling

Machine learning

Statistical analysis

Data visualization

Data wrangling

Educación

Bachelor's degree

Graduate degree in progress

Herramientas

Python

R

SQL

Descripción del empleo

Company: Highmark Health Job Description:

Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.

The Summer 2027 Predictive Modeling & Data Science Graduate Internship provides graduate students with an opportunity to gain hands‑on experience developing advanced analytics and data science solutions that support meaningful business decisions, processes, and strategic initiatives. This internship is designed for students who are passionate about using data, statistics, and machine learning to solve complex problems and translate analytical findings into actionable business insights.

As a member of the advanced analytics team, the intern will work alongside experienced data scientists, analysts, and business partners to help design, develop, and evaluate analytical solutions that address real‑world business challenges. Participants will gain practical experience applying statistical and machine learning methodologies, developing predictive models, analyzing complex datasets, and visualizing results to support data‑driven decision‑making.

The program provides exposure to the end‑to‑end analytics lifecycle, from understanding a business question and exploring available data through model development, evaluation, visualization, and delivery of findings. Interns will also have opportunities to explore new data sources, analytical tools, and emerging techniques while contributing to next‑generation analytics initiatives.

Typical responsibilities include conducting exploratory and statistical analysis, supporting predictive model development, preparing and transforming data, evaluating model results, creating data visualizations, researching new analytical approaches, and communicating findings and recommendations to technical and business audiences. Through mentorship, cross‑functional collaboration, and project‑based learning, participants will strengthen their technical, analytical, problem‑solving, and storytelling skills while building a strong foundation for a career in data science and advanced analytics.

SUMMARY OF JOB RESPONSIBILITIES

This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands‑on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.

REQUIRED QUALIFICATIONS

Bachelor’s degree.
Pursuance of a graduate degree full or part‑time in an accredited college or university.

PREFERRED QUALIFICATIONS

• Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science , or another related quantitative discipline.
• Coursework, research, or project experience involving predictive modeling, machine learning, statistical analysis, or advanced analytics .
• Experience working with large or complex datasets through academic research, internships, professional experience, or graduate coursework.
• Familiarity with programming and analytical tools commonly used for data science and statistical modeling.
• Experience with data preparation, exploratory data analysis, feature engineering, and model evaluation.
• Experience developing data visualizations and presenting analytical findings to diverse audiences.
• Knowledge of machine learning concepts, statistical modeling techniques, and predictive analytics methodologies.
• Ability to translate business questions into structured analytical approaches and actionable recommendations.
• Interest in exploring emerging data science technologies, analytical techniques, and new sources of data.
• Demonstrated initiative, creativity, and curiosity when approaching complex analytical problems.

ESSENTIAL JOB FUNCTIONS

1. Communicate effectively. This position displays effective communication skills while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day‑to‑day operational problems.

2. Under supervision, provide professional services as appropriate to the day‑to‑day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.

3. Undertake and/or participate in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization.

4. Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.

5. As specifically requested by management, conducts research and reporting inclusive of recommendations or alternative proposals for action.

6. Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.

7. Perform miscellaneous job‑related duties as assigned.

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

Pay Range Maximum:

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.

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