Applied AI Research Scientist – Data Scientist / Scientifique en IA Appliquée – Scientifique de Données

Thales
Quebec City
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Curiosity","Open-mindedness","Problem-solving","Teamwork","Communication"]

Develop advanced, data-driven models and analytics to improve the safety, reliability, and efficiency of mission-critical systems. Build and evaluate AI/ML solutions for defense, aerospace, and other high-stakes environments, partnering with engineers and domain experts to deliver proofs of concept, prototypes, and demonstrators. Apply strong scientific-method rigor across the research lifecycle, including Generative AI/LLM workflows (agentic and otherwise) and communicate results through publications and technical reporting.

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FursaFursa
Thales
Thales
1 month ago

Applied AI Research Scientist – Data Scientist / Scientifique en IA Appliquée – Scientifique de Données

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Develop advanced, data-driven models and analytics to improve the safety, reliability, and efficiency of mission-critical systems. Build and evaluate AI/ML solutions for defense, aerospace, and other high-stakes environments, partnering with engineers and domain experts to deliver proofs of concept, prototypes, and demonstrators. Apply strong scientific-method rigor across the research lifecycle, including Generative AI/LLM workflows (agentic and otherwise) and communicate results through publications and technical reporting.
Location: Quebec City
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop data-driven models and analytics to improve mission-critical system safety, reliability, and efficiency.
  • •Support design, testing, and operation of systems used in defense, aerospace, and other high-stakes environments.
  • •Collaborate with engineers, software developers, and domain experts to apply data analytics and machine learning under regulatory standards.
  • •Implement proofs of concept and evolve them through prototypes and demonstrators to show business potential.
  • •Deliver high-quality research outputs using a scientific-method approach and communicate results via publications, patents, or technical reports.

Pay and Benefits

Perks:Health InsuranceDentalHsaLife InsuranceRetirement SavingsPaid LeaveWell-beingEmployee Assistance

Key Requirements

  • •MSc in engineering, computer science, applied mathematics, or statistics in a related data science field.
  • •Proficiency in Python, R, or similar for data processing, cleaning, and analysis.
  • •Strong understanding of machine learning (supervised/unsupervised, deep learning, anomaly detection, time series).
  • •Experience training/testing/evaluating AI/ML models across domains such as vision, text, and structured data.
  • •Demonstrated experience with Large Language Models (LLMs) and Generative AI workflows (including agentic AI).
Education:Master's
Skills:CuriosityOpen-mindednessProblem-solvingTeamworkCommunication
Languages:FrenchEnglish
Tech Stack:PythonRMachine LearningDeep LearningAnomaly DetectionTime SeriesLarge Language Models (LLM)Generative AIAgentic AILLM workflowsLinuxTableauPower BIMatplotlibSeabornKubernetesHadoopSparkMCP Servers

Eligibility

Security Clearance:Canadian Enhanced Reliability

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn