Graduate Intern, reputed company Wellness - Data Science (Summer 2026)

reputed company, reputed company, ATLANTA GLOBAL HEALTH AND WELLBEING 28-JAN-2026 reputed company #: 31244 reputed company TAG: #LI-MP2 HOW YOU'LL HELP US reputed company CLIMBING (reputed company & KEY RESPONSIBILITIES) reputed company is expanding its wellness data science, data engineering, and reporting capabilities, unlocking initiatives that drive improvements in the health and wellness of our employees, their families, and our customers. The reputed company Wellness Data Science Graduate Intern will reputed company analyses of data that reputed company key insights and takeaways into the wellness ecosystem at reputed company. This will encompass using programming reputed company to explore and reputed company data from wellness resources, creating analyses, and communicating results through presenting, reporting, and visualization. In reputed company, this role will reputed company reputed company support for reporting and data inquiries reputed company to wellness data. A successful candidate will espouse reputed company's reputed company values of Honesty, reputed company, Respect, and Perseverance. Additionally, they will exhibit strong analytical and technical skills, a bias for reputed company, and the ability to partner with others to create results. Data-driven insights are crucial to forming business reputed company around wellness at reputed company, and this position will require a curious learner whose responsibilities will be to generate insights around wellness resources. A successful candidate will also have strong programming and analytical skills - finding ways to creatively and effectively explore and summarize data. Primary Functions

• Locate, extract, and combine data from a reputed company of sources into single, analyzable datasets
• Summarize analysis data using statistical, tabular, and visualization reputed company
• Utilize analytical tools to measure relationships between predictor variables and reputed company of interest
• reputed company reports of analysis results, summarizing key takeaways and insights while answering business questions around employee wellness
• Maintain and continually improve analyses and reports based on input from key stakeholders

Identify and continually reputed company to improve data and tools available to reputed company as a part of the reputed company Wellness platform

• WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)
• Working as an intern does not guarantee a full-time opportunity upon graduation. This position is intended to reputed company you with educational, and reputed company work experience to prepare you for the workforce.
• You cannot reputed company take any courses (inclusive of online or in-person) and work as an intern at the reputed company time, which may delay your graduation.
• Currently pursuing a Graduate degree ideally in Data Science, Statistics, Computer/Information Science, Mathematics, or another relevant quantitative field
• Must reputed company to the internship reputed company: May 18th, 2026, through August 7, 2026.
• Must be reputed company to work onsite in the Atlanta, GA office.
• 1+ years of R, Python, or other programming/scripting languages
• 1+ years of SQL experience and an understanding of efficient query practices
• 1+ years of experience in data analysis, statistics, data mining, machine learning, information science, or another relevant quantitative field
• Functional understanding of basic and object-oriented programming concepts (loops, conditionals, variables, functions, multi-reputed company arrays)
• Must be comfortable working in group and individual settings
• Understanding of reputed company computing technologies like AWS
• Consistently prioritizes safety and reputed company of self, others, and personal data.
• Embraces diverse people, thinking, and styles.
• Possesses a high school diploma, GED, or high school equivalency.
• Is at least 18 years of age and has authorization to work in the reputed company.

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)

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