Data Scientist (Internship — Co-op, January 2027)
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Summary
A co-op data science internship (starting January 2027) at Analytic Partners in Miami: the intern applies statistics, machine learning, and optimization to client analytics projects, analyzes data, and helps enhance the company's analytics platform. Core stack: Python, SQL, R, Git, and Linux.
- Apply scientific methodologies and techniques creatively to solve real-world problems and generate business impact
- Research data science methodologies and derive novel analytical solutions to expand the company’s solution capabilities and options
- Work with cross-functional business teams on client engagement and implementation, and discover and address users’ pain points to enhance the AP analytics platform
- Conduct data analysis using various tools and techniques
- Assist in documenting model specifications and implementation details
- Assist team members in developing and implementing statistical, machine learning, and AI solutions, models, and algorithms
- Communicate effectively with stakeholders to understand business needs and requirements
Benefits
- Competitive Benefits: Access robust medical, dental, and vision coverage
- Invest in Tomorrow: Save for the future with a retirement plan, featuring employer match
- Work-Life Balance: Enjoy generous PTO, company holidays, and expanded parental leave
- Commitment to Growth: Keep growing with continuous professional development opportunities and support
- Culture of Connection: Connect with your collaborators at fun employee events, or over in-office snacks
- Solid technical skills in probability and statistics, machine learning, and optimization algorithms
- Familiarity with version control systems such as Git
- Currently an undergraduate or graduate student graduating between 2027 and 2028
- Able to set up and maintain Python environments, including virtual environments, dependency management, and package installations
- Strong verbal and written communication skills, a great work ethic, a sense of ownership and intellectual curiosity, and the desire and ability to collaborate in a team environment
- Proficient in Python and SQL
- Experience implementing common machine learning algorithms from scratch, such as linear regression, logistic regression, decision trees, k-means clustering, and Bayesian regression
- Linux and R skills