ITPS
Senior Data Scientist (Applied AI & Analytics)
London, Ontario
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Senior
- Stated salary
- $110,000 – $150,000 per year
- Country
- CA
- Work mode
- On-site / unstated
- First seen by hirly
- 2 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Job Title: Senior Data Scientist (Applied AI & Analytics)
- Location: London, ON / North Bay, ON (Hybrid)
- Employment Type: 2-Year Contract (with option to extend)
- Salary Range: $110,000 – $150,000 CAD (commensurate with experience)
- Relocation Support: Moving allowance available
About ITPS
International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.
As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.
Role Overview
ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.
The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.
Key Responsibilities
Lead the design and development of data processing pipelines for complex, multi-source datasets
Develop methodologies to extract meaningful insights from time-series and high-frequency data
Design and implement statistical models and machine learning approaches where appropriate
Structure and integrate diverse data sources into unified analytical frameworks
Define key metrics, features, and indicators for performance analysis
Collaborate with subject matter experts to translate operational concepts into measurable outputs
Ensure data quality, consistency, and reliability across datasets
Support visualization and reporting of analytical results
Establish best practices for data management, documentation, and reproducibility
Contribute to technical planning and project execution
Participate in hiring and mentoring of junior data team members as the project expands
Required Qualifications & Experience
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in applied data science or analytics roles
Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
Experience working with time-series data and large, complex datasets
Strong data wrangling, preprocessing, and feature engineering skills
Experience developing and deploying analytical models in real-world environments
Solid understanding of statistical methods and data analysis techniques
Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
Ability to work independently and translate ambiguous problems into structured solutions
Preferred Qualifications
Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
Experience in aerospace, defense, simulation, or human performance analytics
Familiarity with machine learning model development and evaluation
Experience with data architecture, pipelines, and cloud-based tools
Prior experience in R&D or applied innovation environments
What We’re Looking For
Strong problem-solving ability and practical mindset
Ability to work with incomplete or evolving datasets
Comfortable operating in an applied, hands-on environment
Strong communication skills and ability to work with non-technical stakeholders
Interest in building new capabilities from the ground up
Compensation & Benefits
Competitive salary based on experience ($110,000 – $150,000 CAD)
Moving allowance available for qualified candidates
Opportunity to work on a high-impact, technically challenging project
Potential for contract extension based on project success and business needs
Why Join ITPS
This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.
AI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.
Listed on hirly, a job board. hirly is not the employer: ITPS is hiring for this role.
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