AI & People Analytics Intern - Remote
About the Role
We are looking for an AI & People Analytics Intern - Remote to join our innovative team. As an intern, you will have the opportunity to work on exciting projects that leverage AI and data analytics to enhance people management and organizational effectiveness. This role is perfect for someone passionate about data science and its application in human resources.
What You'll Do
- Assist in the development of predictive models to analyze employee data and improve workforce planning.
- Support the creation of dashboards and visualizations using tools like Power BI and Tableau.
- Conduct statistical analysis to derive insights from HR data and present findings to stakeholders.
- Participate in data collection and quality assurance processes to ensure the accuracy of analytics.
- Collaborate with cross-functional teams to implement data-driven solutions in people analytics.
Requirements
- Currently pursuing a degree in Data Science, Statistics, Human Resources, or a related field.
- Familiarity with Python, SQL, and data visualization tools.
- Strong analytical skills and attention to detail.
- Ability to work independently and as part of a team.
- Excellent communication skills to convey complex data insights.
Nice to Have
- Experience with machine learning techniques.
- Knowledge of HR analytics and people management practices.
- Previous internship experience in data analysis or human resources.
What We Offer
- Competitive hourly pay based on education level.
- Opportunity to participate in the annual bonus plan.
- Comprehensive benefits package including medical, dental, and vision.
- 401(k) and FSA/HSA options.
- Paid Time Off and Wellness programs.
- Supportive work environment focused on teamwork and collaboration.
- Opportunity to contribute to meaningful work in oncology.
This internship offers a unique opportunity to gain hands-on experience in AI and people analytics while working remotely. With competitive pay and a supportive environment, it's an excellent start for your career.
Who Will Succeed Here
Proficiency in Python for data manipulation and predictive modeling, with hands-on experience in libraries such as Pandas and Scikit-learn to support AI-driven analytics.
Strong analytical mindset with the ability to visualize complex data sets using Power BI and Tableau, ensuring insights are effectively communicated to stakeholders in a remote work environment.
Familiarity with SQL for data querying and statistical analysis, combined with a proactive attitude towards learning new tools and methodologies in data science and HR analytics.
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