London On Data scientist Jobs – 10 Openings This Week

Senior Data Scientist (Applied AI & Analytics)
ITPS (Canada) LTD —London, ON
- $110,000–$150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Business & Data Analyst
Western University —London, ON
- $67,680–$96,590 a year
- Full-time
- Computer science
- Microsoft Excel
- Computer Science
11d
AI Developer
Trojan Technologies —London, ON
- Full-time
- Azure
- Computer Science
- Engineering
Transaction Services, Deals Insights and Analytics - Senior Associate
Pwc UK —London, ON
- Full-time
- Hybrid work
- SQL
- Python
- Analytics

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Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD -
London, ON

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Job details

Full-time
$110,000–$150,000 a year

Qualifications

Power BI
Computer Science
Engineering
NumPy
Mathematics
Master's degree
Pandas
Statistical analysis
Bachelor's
Machine learning
Training & development
Data visualization
Model evaluation
Communication skills
Python
Data Science
Analytics

Full 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.

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