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Senior Data Scientist; Applied AI & Analytics

Job in London, Ontario, K5Z, Canada
Listing for: itps
Contract position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 150000 CAD Yearly CAD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Scientist (Applied AI & Analytics)
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, Num Py, 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.

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Position Requirements
10+ Years work experience
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