Digital & IT Leadership Development Program Associate - Predictive Data Science

Polaris Inc.•Plymouth, MN

1d•$79,000 - $88,500•Hybrid

About The Position

The Polaris Digital & Information Technology (D&IT) Leadership Development Program is a two-year rotational program designed for recent graduates interested in technology, business, and leadership. Through four six-month rotations, associates gain hands-on experience applying data, analytics, machine learning, and AI to solve real business challenges across Polaris. The Predictive Data Science Track provides exposure to the full data science lifecycle — from identifying business problems and preparing data to building predictive models, deploying machine learning solutions, and translating insights into action. Associates work alongside data scientists, data engineers, product teams, business stakeholders, and technology leaders to develop solutions that improve customer experiences, optimize operations, and support innovation across the enterprise. This track is ideal for individuals who are analytical, curious, and energized by using data to solve complex problems. Throughout the program, associates build technical, business, and leadership skills while gaining broad exposure to how data science and advanced analytics drive business outcomes across Polaris.

Requirements

Bachelor's or Master's degree in Data Science or related field with graduation date between August 2026 and May 2027.
Minimum overall GPA of 3.0.
Ability to start January 11, 2027 or June 14, 2027.
U.S. work authorization without future sponsorship requirements.
Reliable transportation.
Willingness to travel and relocate throughout the rotational program.
Proficiency in Microsoft Office (Outlook, Excel, Word, Teams, SharePoint).
Demonstrated leadership experience through student organizations and/or work experiences.
Demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.

Nice To Haves

Previous internship, co-op, research, or project experience involving data analytics, data science, machine learning, artificial intelligence, or statistical modeling.
Interest in applying data, analytics, and AI to solve business challenges and drive decision-making.
Experience working with data to identify trends, develop insights, or support recommendations.
Familiarity with data science, machine learning, predictive analytics, artificial intelligence, or data visualization concepts.
Ability to communicate data-driven insights and recommendations to technical and non-technical audiences.
Demonstrated curiosity and a passion for learning new technologies and analytical techniques.

Responsibilities

Analyzing business, customer, product, and operational data to uncover insights and deliver recommendations that create measurable business value.
Leveraging connected product and business data to uncover insights, improve experiences, and support data-driven decision-making.
Building, training, and evaluating models that support forecasting, optimization, personalization, and operational decision-making.
Exploring opportunities in generative AI, agentic AI, large language models, deep learning, and other emerging technologies to support business innovation.
Supporting scalable machine learning pipelines, model deployment processes, monitoring, automation, and continuous improvement practices.
Collaborating with business partners, engineers, product teams, and technology leaders to translate business needs into data science solutions.