Data Science Co-Op | January 2027

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