Join Indigo Park Canada – Leading the Parking Industry!
We are seeking a highly analytical and detail-oriented Data Scientist to transform large, complex datasets into actionable insights that drive revenue optimization and business performance. This role requires advanced technical expertise, strong business acumen, and the ability to work independently while communicating insights clearly to stakeholders at all levels.
This is a hybrid position based at Toronto Pearson Airport (GTAA), with a requirement to work onsite multiple days per week.
You will play a key role in designing scalable analytical solutions, developing predictive models, and uncovering opportunities to optimize pricing, demand, and growth across airport groundside operations and key clients.
Key Responsibilities
- Design and develop Python-based models and data pipelines to analyze customer behaviour, forecast demand, and identify scalable revenue and growth opportunities.
- Apply statistical analysis and machine learning techniques to solve complex business problems, including pricing optimization and demand modeling.
- Analyze large, complex datasets to uncover trends, patterns, and actionable insights that drive revenue and operational performance.
- Build and maintain robust Power BI data models and dashboards to support decision-making across business and client stakeholders.
- Conduct deep-dive analysis on pricing strategy, demand elasticity, and market dynamics to inform data-driven recommendations.
- Own data quality and integrity through rigorous validation, cleansing, and monitoring processes.
- Translate complex analytical outputs into clear, concise insights and recommendations for both technical and non-technical audiences.
- Work independently to define problems, scope analytical approaches, and deliver end-to-end data science solutions.
- Partner with internal teams and external clients to drive adoption of insights and continuously improve data capabilities.
Essential Skills & Experience
- University degree in quantitative discipline (Computer Science, Statistics, Mathematics, Engineering, Economics, or related field), or equivalent experience
- 3–5+ years of experience in Data Science or Advanced Analytics working with large, complex datasets
- Advanced Python expertise (pandas, NumPy, scikit-learn, selenium) for modeling, automation, and data processing
- Strong experience in predictive modeling, statistical analysis, and machine learning
- Advanced Power BI skills, including data modeling and DAX
- Strong proficiency in SQL and relational databases
- Experience with OLAP systems; familiarity with IBM Cognos TM1 / Planning Analytics is a strong asset
- Exceptional attention to detail with a strong focus on data accuracy and quality
- Excellent communication skills with the ability to translate complex findings into business insights
- Proven ability to work independently and deliver high-quality outputs with minimal supervision
Desirable Experience
- Experience with dynamic pricing, revenue optimization, or demand forecasting
- Experience deploying or operationalizing machine learning models
- Familiarity with additional BI tools (Tableau, Qlik, Cognos Analytics)
- Exposure to cloud platforms and modern data architecture
Key Attributes
- Highly detail-oriented and quality-driven
- Self-starter with strong ownership and accountability
- Strong balance of technical depth and business acumen
- Ability to influence decisions through data storytelling
Why You'll Love Working With Us
Be part of a diverse and supportive team
Work in a dynamic airport environment
Opportunities to take initiative and grow within Indigo
Hands-on role supporting essential, high-visibility operations
The composition of Indigo's workforce reflects a wide variety of ages, profiles, and roles. We maintain and promote this openness through a policy of equal opportunities and fight against all forms of discrimination in hiring and in work relationships. Applications from various groups are welcomed and encouraged. Every person has a right to equal treatment with respect to employment or discrimination. Accommodations are available on request in relation to materials or processes.
We thank all applicants for their interest in this position. However, due to the high volume of applicants, we will only be contacting candidates selected for an interview. No agency or applicant phone calls, please.
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