Data Sciences Analyst

Overview

Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

As a Data Sciences Analyst at Air Canada, you will be embedded in a cross‑functional team and will contribute to analytical needs for initiatives using Mathematics, Statistics, Machine Learning and Business Acumen to derive structure and knowledge from raw data and business rules. We are looking for an analyst to help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products and services. Your primary focus will be applying data science techniques, doing exploratory and statistical analysis on Air Canada’s products and services.

You will join the Data Science & AI Team, a central group within Air Canada’s IT organization, building machine learning and optimization solutions for internal business units such as Revenue Management, Network Planning, Operations, Maintenance and Cargo as well as customer‑facing solutions. Collaboration with both technical and non‑technical stakeholders is essential as you deliver production‑grade applications.

All initiatives follow an agile methodology, with 2‑to‑3‑week sprints and incremental releases leading to the final production deployment. This approach fosters continuous improvement, adaptability and close alignment with business needs.

Responsibilities

• Solves tactical problems with supervision and guidance, contributing to data science scope.
• Communicates progress and obstacles, proposes solutions, and seeks feedback as needed.
• Presents and explains technical work to both business clients and team members, addressing technical questions and providing clear explanations.
• Quickly identifies or learns appropriate tools for tasks, demonstrating familiarity with core modelling techniques and machine learning methods.
• Visualises data and modelling results using standard libraries.
• Ensures data integrity for analysis and modelling, merging relevant data sources, testing data quality, and resolving anomalies.
• Writes reusable, version‑controlled code that is scalable and deployable across the enterprise, with guidance from senior team members.
• Contributes and maintains technical documentation.
• Collaborates in a multidisciplinary environment with experts in machine learning, data engineering and design, sharing acquired expertise.

Qualifications

Conditions Of Employment

Candidates must be eligible to work in the country of interest at the time an offer of employment is made, and seeking any required work permits, visas or other authorisations that may be required is the sole responsibility of the candidates applying for this position.

Linguistic Requirements

Based on equal qualifications, preference will be given to bilingual candidates.

Diversity and Inclusion

Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers and communities in which we live and serve.

Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

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