Senior Data Scientist (Applied AI & Analytics)
London, Ontario, Canada
- Pay
CAD 110,000–150,000/yearAnnual period assumed — pay source
Compensation & Benefits Competitive salary based on experience ($110,000 – $150,000 CAD) Moving allowance available for qualified candidates
Read the full posting- Work setup
Hybrid stated — work setup source
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
Read the full posting- Employment
- Unconfirmed
What you’ll work on
Full postingITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative.
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.
Lead the design and development of data processing pipelines for complex, multi-source datasets
Define key metrics, features, and indicators for performance analysis
Develop methodologies to extract meaningful insights from time-series and high-frequency data
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore 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
- Experience developing and deploying analytical models in real-world environments
- Solid understanding of statistical methods and data analysis techniques
Preferred experience
- Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
- Ability to work with incomplete or evolving datasets
- Experience in aerospace, defense, simulation, or human performance analytics
- Strong communication skills and ability to work with non-technical stakeholders
Qualification wording
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
Experience developing and deploying analytical models in real-world environments
Solid understanding of statistical methods and data analysis techniques
Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
Ability to work with incomplete or evolving datasets
Experience in aerospace, defense, simulation, or human performance analytics
Strong communication skills and ability to work with non-technical stakeholders
Education & alternatives
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
Tools in this posting
- Python
- Matplotlib
- NumPy
- pandas
- Power BI
- scikit-learn
Source — Tool mentions in context
- 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
- 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
Benefits in the posting
Full benefits wording- Moving allowance available for qualified candidates
- Potential for contract extension based on project success and business needs
- Why Join ITPS
From the employer’s posting.
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.
In the employer’s words · Read in context
Job description
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on itps.bamboohr.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation & Benefits Competitive salary based on experience ($110,000 – $150,000 CAD) Moving allowance available for qualified candidates
- Location & working pattern
London, Ontario, Canada
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 4, 2026
- Recorded sightings
- 65
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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