- Location
- Scotiabank Arena, Canada
- Type
- Internship
- Department
- Management
- Seniority
- Internship
- Closing date
- Jul 11, 2026
- Source
- Workday
Description
Powered by Passion. United by Purpose. Build for Impact.
At Maple Leaf Sports & Entertainment Partnership (MLSE), we exist to deliver the ultimate fan experience by lifting trophies, spirits, and communities – united as one.
We're more than a workplace. We are a team of passionate people, boldly building the future of sport and entertainment, together. We believe in the power of play, the strength of collaboration, and the energy that comes from showing up with purpose.
From the ice to the pitch, the hardwood to the digital arena, we’re proud to be the driving force behind the Toronto Maple Leafs (NHL), the Toronto Raptors (NBA), Toronto FC (MLS), Toronto Argonauts (CFL) and development teams with the Toronto Marlies (AHL), Raptors 905 (NBA G League), Toronto FC II (MLS NEXT Pro League) and Raptors Uprising Gaming Club, the Toronto Raptors Esports franchise in the NBA 2K League.
We bring these teams – and world-class entertainment – to life at our iconic venues, including Scotiabank Arena, BMO Field, Coca-Cola Coliseum, Ford Performance Centre, BMO Training Ground, and OVO Athletic Centre. Off the field, we serve up elevated dining at e11even, Real Sports, and our signature club spaces like Hot Stove Club, ScotiaClub, and Platinum Club.
Through MLSE Foundation and MLSE LaunchPad, we use the power of sport to help youth facing barriers reach their full potential. Since 2009, we’ve invested more than $45 million into Ontario communities -- and we’re just getting started.
This is what it means to be One MLSE: a culture where everyone plays a role, everyone belongs, and everyone contributes to something bigger than themselves.
So, if you're ready to play with purpose, grow with passion, and win as one, we’d love to have you on our team.
** We know that great candidates come from a variety of backgrounds and experiences. Even if you do not meet every qualification listed, we encourage you to apply. Your unique perspective, transferable skills, and lived experience may be exactly what we’re looking for. **
Job Description
MLSE's Internship term dates are from September 8, 2026 - December 18, 2026
Responsibilities:
Support the development and evaluation of predictive and machine learning models using Python or R
Analyze in-venue operational data to support KPIs related to attendance, staffing, throughput, guest experience, and revenue
Utilize AI and automation tools to enhance reporting, insight generation, and business intelligence workflows
Analyze digital and performance marketing data across channels to assess campaign effectiveness, attribution, and ROI
Support analytics and machine learning workflows in cloud-based environments, leveraging tools such as Databricks and AWS
Create clear and compelling presentations, documentation, and storytelling materials to communicate insights to senior leaders and stakeholders
Support strategic initiatives through data-driven research, analysis, and recommendations
Qualifications
Currently enrolled in a post-secondary program in Data Science, Analytics, Computer Science, Engineering, Mathematics, Statistics, Economics, Marketing Analytics, or a related discipline
Experience analyzing data using Python and/or R, with working knowledge of SQL
Strong analytical and problem-solving skills with the ability to translate business questions into data-driven solutions
Experience building dashboards or analytical outputs using Power BI, Tableau, or similar visualization tools
Strong written and verbal communication skills, with the ability to present insights to both technical and non-technical audiences
Ability to manage multiple priorities, work independently, and collaborate effectively in a team environment
Hands-on experience using Databricks for data analysis, feature engineering, or model development is preferred
Familiarity with cloud-based data architectures and analytics workflows, particularly in AWS, is an asset
Academic or project-based experience building predictive or machine learning models is an advantage
Exposure to performance marketing, digital analytics, or attribution modeling is a plus
Interest in sports, live events, or entertainment analytics is highly desirable
Available to work full-time regular hours with flexibility around event-based work
Team-first, curious, positive, and eager to learn in a fast-paced environment
Job Posting Compensation Range/Rate:
$38,760
We’re glad you’re here. Once you apply, we’ll follow up by email, and you can track everything in your Candidate Portal. Want instant updates? Opt-in for SMS notifications to stay in the loop.
At MLSE, we are committed to building an equitable, diverse and inclusive organization. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. MLSE will provide reasonable accommodation for qualified individuals with disabilities in the job application process. If you have difficulty using our online application system and you need an accommodation due to a disability, please email [email protected]. This email is only for accommodation requests. Resumes sent to this email address will not be considered.