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Data Science Co-Op | January 2027

COMPANY OVERVEW:

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Analyticpartners Miami, Miami, Florida, United States Source published Oct 21, 2026 Source retrieved Oct 21, 2026
Source: Analyticpartners (lever) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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COMPANY OVERVEW:

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COMPANY OVERVEW: Analytic Partners is a global leader in commercial measurement and optimization, turning data into expertise for the world’s largest brands for almost 25 years.

Our holistic approach to decisioning is powered by our industry-leading platform and team of experts, who help leaders make better decisions, faster – unlocking business growth and creating powerful customer connections.

With clients in 50+ countries and global offices across New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville and Denver, we’re growing fast. And we’re looking for top talent to join us in shaping the future of analytics.

To learn more about what we do, visit analyticpartners.com, and see why we’re recognized as a leader by The Forrester Wave™: Marketing Measurement & Optimization, Q3 2023 Report.

This position is not eligible for visa sponsorship Must be willing to commit to minimum 6 months for this internship Position: Data Science Co-Op FY27 (6 or 8 month Co-Op Program) Starting Date: January 2027 Analytic Partners Science Team develops algorithms and technologies using the mathematical framework to address business challenges analytically. The algorithms and technologies then feed into Analytic Partners’ analytical engines! The Science Team is an integral part of R&D Group who is the core of Analytic Partners software as a service platform. The team is comprised of motivated individuals that do exceptional work. They face challenges together and they win together. As a Data Scientist Intern , you’ll collaborate with a fun and agile team to research, architect, implement, test, and continuously deliver new features and products to our company and clients! You also have opportunities to work with clients to develop customized models and solutions to address their business challenges. Why participate: This would be a great opportunity if you are eager to apply quantitative analysis theories and techniques you learn at school to real-world solutions and you’re passionate about working with data. You will thrive in our collaborative work environments and grow personally and professionally. You will be challenged to harness innovation and are constantly looking for ways to improve. Participants will: Creatively apply science methodology and techniques solving real-world problems to generate business impact. Conduct Data Science methodology research and derive novel analytical solutions to expand company solution capabilities and options. Work closely with cross function business teams on client engagement and implementation Discover and address users’ pain points to enhance AP analytics platform. YOU WILL OWN & COLLABORATE ON: Conduct data analysis using various tools and techniques. Assist in documenting model specifications and implementation details. Assist team members in developing and implementing statistical, ML and AI solutions, models, and algorithms. Communicate effectively with stakeholders to understand business needs and requirements. QUALIFICATIONS & EXPERIENCE YOU WILL NEED: Minimum: Solid technical skills in probability & statistics, machine learning and optimization algorithms. Proficient in Python and SQL. Set up and maintain Python environments, including virtual environments, dependency management, and package installations. Familiarity with version control systems like Git. Strong verbal and written communication skills, great work ethic, sense of ownership and intellectual curiosity, desire, and ability to collaborate in a team environment. Preferred: Implement common machine learning algorithms from scratch (e.g., linear regression, logistic regression, decision trees, k-means clustering, Bayesian Regression) Linux and R skill set are a plus. ELIGIBILITY: Undergraduate and graduate students graduating between 2027 – 2028

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