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Added 15 mins ago
JI
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Added 30 mins ago
Manager, Claims Optimization
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Dartmouth, NS · Calgary, AB · Lethbridge, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
Strong proficiency with Microsoft 365 applications and the ability to leverage data, reporting, and analytics tools to support decision-making

Transat AT

Decision Science Specialist

300 rue Léo-Pariseau, Montreal, QC, H2X 4C2, Canada

Full-time

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Job details

Job type: Full-time
Experience: 4 to 8 years of experience in advanced analytics, data science, optimization, artificial intelligence, machine learning, or decision support.
Posting language: English
Posted: Oct 8, 2026

Original job description

Company Description

Join the journey!

Our mission is to be the preferred airline of our customers and our team. Open-mindedness, concern for others, intelligence at work, and above all, a good dose of fun allow us to achieve great things every day. Our commitment has earned us the title of best leisure airline in the world several times, and this is just the beginning. Want to join us? You will have the chance to enjoy exclusive travel privileges to explore the world and create unforgettable memories. You will also have the opportunity to work in modern and inspiring work environments.

Job Description

In collaboration with the Senior Director, Revenue Management Systems and Inventory, the Decision Science Specialist contributes to the evolution, validation, and optimization of analytical models, artificial intelligence and machine learning (AI/ML) solutions, and revenue management systems. The incumbent transforms data into actionable business recommendations that improve commercial performance and support strategic decision-making.

What You Will Accomplish

Contribute to the evolution, maintenance, and optimization of revenue management systems, the PROS platform, and AI/ML solutions.
Validate, test, and evaluate statistical models, optimization algorithms, and analytical solutions to ensure accuracy, performance, and business value.
Design and maintain KPIs, measurement frameworks, and methodologies to assess the effectiveness of models and analytical solutions.
Conduct statistical, quantitative, and exploratory analyses to identify performance drivers and recommend improvements.
Develop, automate, and maintain validation, monitoring, and diagnostic processes for analytical models.
Create dashboards, visualizations, and decision-support tools to effectively communicate insights and recommendations.
Ensure the quality, consistency, and integrity of data used across analytical models and solutions.
Collaborate closely with Revenue Management, Data Science, Technology, Development, and business teams in an agile and continuous improvement environment.

Qualifications

What You Bring

Master's degree in Operations Research, Statistics, Data Science, Applied Mathematics, Computer Science, or a related discipline.
4 to 8 years of experience in advanced analytics, data science, optimization, artificial intelligence, machine learning, or decision support.
Strong knowledge of applied statistics, predictive modeling, machine learning, and optimization techniques.
Advanced proficiency in SQL and Python for data extraction, transformation, analysis, and model development; knowledge of R, Spark, or similar technologies is considered an asset.
Experience developing, validating, and enhancing analytical models, AI/ML solutions, and business intelligence dashboards.
Strong analytical thinking, problem-solving abilities, autonomy, initiative, and the ability to explain complex technical concepts to diverse audiences.
Good understanding of Revenue Management Systems (RMS), PROS, and revenue optimization concepts is an asset.
Excellent proficiency with Microsoft Office tools (Word, Excel, Outlook, Teams) and demonstrated comfort with collaborative digital tools and AI solutions (e.g., Copilot). Ability to quickly learn and adapt to new technologies.
Oral and written fluency in French and English*.

*A good knowledge of French is required for positions in Quebec. The incumbent will be required to communicate and collaborate frequently in English, both orally and in writing, with colleagues, customers, and other stakeholders in Quebec, the rest of Canada, and internationally.

Additional Information

Artificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process.

Employment Equity

At Transat, we foster an environment where inclusiveness, respect and equity reign. We endeavour to build a workforce that reflects the diversity of our customers as well as the communities to which we travel. We encourage women, members of visible minorities, ethnic minorities, aboriginal peoples as well as people with disabilities to submit their candidacy. Transat will accommodate people with disabilities throughout the recruitment and selection process. If you require an accommodation, please contact us in order to work together in meeting adequately your needs.

Lieu de travail: Hybride (Présentiel et télétravail) / Hybrid (face-to-face and telework)

Type d'horaire: Horaire fixe – 37.5H/semaine : du lundi au vendredi / Fixed schedule - 37.5H/week: Monday to Friday

Contract Type: Permanent - Full Time

Job Category: Non-Unionized

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More about this job

Responsibilities

The Decision Science Specialist contributes to the evolution, validation, and optimization of analytical models, AI/ML solutions, and revenue management systems. They transform complex data into actionable business recommendations to improve commercial performance and support strategic decision-making.

Requirements

Candidates must hold a Master's degree in a quantitative field such as Operations Research, Statistics, or Data Science. The role requires 4 to 8 years of experience in advanced analytics, optimization, and proficiency in SQL and Python.

Skills

Operations Research
Statistics
Data Science
Applied Mathematics
Machine Learning
Artificial Intelligence
SQL
Python
Predictive Modeling
Optimization Techniques
Revenue Management Systems
PROS
Business Intelligence
Data Analysis
Quantitative Analysis
Analytical Modeling

Benefits

Travel privileges
Modern work environment
Hybrid work model

Visa sponsorship

Not detected in the job text

Keywords

Decision Science
Revenue Management
Operations Research
Statistics
Data Science
Applied Mathematics
Computer Science
Artificial Intelligence
Machine Learning
SQL
Python
R
Spark
Predictive Modeling
Optimization Algorithms
KPIs
Business Intelligence
Data Visualization
PROS Platform
Agile
Continuous Improvement
Quantitative Analysis
Exploratory Analysis
Microsoft Office
Copilot
Airline Industry
Analytical Models
Strategic Decision-making
Data Integrity
Diagnostic Processes

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