Data Science Co-Op | January 2027

Analytic Partners; Miami (FL); On-site; USD 28,000 - 39,000; Full time

Job summary

Analytic Partners is seeking a Data Science Co-Op for the FY27 program in Miami. You will join the Science Team to develop data-driven models and solutions, collaborating with colleagues to address client challenges and improve analytics capabilities.

You will apply quantitative analysis learned at school to real-world data, build and test models, and participate in delivering features that enhance the AP analytics platform.

Qualifications

• Solid skills in probability & statistics, machine learning and optimization.
• Proficient in Python and SQL.
• Set up and maintain Python environments, including virtual environments and dependencies.
• Familiarity with Git version control.
• Strong verbal and written communication and teamwork.

Responsibilities

• Conduct data analysis and build analytical solutions for real-world problems.
• Document model specifications and implementation details.
• Develop and implement statistical, ML and AI models and algorithms.
• Collaborate with cross-functional teams to understand business requirements.

Skills

Python

SQL

ML basics

Statistics

Git

Communication

Education

Undergrad or Grad student

Tools

Linux

R

Job description

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.

POSITION & TEAM OVERVIEW:

• 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

OUR VALUES:

Our differentiator is – Our People! We hire the brightest talent and develop them into leaders. We foster a culture of PEOPLE, PASSION and GROWTH.

People: We value our people, customers, and partners

Passion: We love what we do

Growth: Unlimited growth means unlimited potential

AP is a customer-focused, team-oriented organization where innovation and results are rewarded, and individuals can chart the course of their own careers.

As a woman founded and led company, this has meant supporting a meritocracy where everyone has opportunities to achieve their best and ensure we foster an environment of diversity, equity, and inclusion. In practice this means we will not only work to recruit a diverse workforce, but also maximize the full potential of all of our people. You can read more about our commitment to DEI here

Additionally, Analytic Partners participates in the E-Verify program in certain locations, as required by law.