{"id":1692552,"url":"https://alion.io/job/itps-canada-senior-data-scientist-applied-ai-analytics","title":"Senior Data Scientist (Applied AI & Analytics)","company":{"id":2043433,"name":"ITPS Canada","domain":"itpscanada.com","url":"https://alion.io/company/itpscanada","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":110000,"max":null,"currency":"CAD","period":"year","gross":null,"usd_annual":77270},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-05-06T00:00:00Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-10-15T17:48:42Z","board_verified":true,"closed_at":null,"days_open":162,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":162},"description":"Job Title: Senior Data Scientist (Applied AI & Analytics)\nLocation:London, ON / North Bay, ON (Hybrid)\nEmployment Type:2-Year Contract (with option to extend)\nSalary Range:$110,000 - $150,000 CAD (commensurate with experience)\nRelocation Support:Moving allowance available\nAbout ITPS\nInternational 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.\nAs part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.\nRole Overview\nITPS 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.\nThe 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.\nKey Responsibilities\nLead the design and development of data processing pipelines for complex, multi-source datasets\nDevelop methodologies to extract meaningful insights from time-series and high-frequency data\nDesign and implement statistical models and machine learning approaches where appropriate\nStructure and integrate diverse data sources into unified analytical frameworks\nDefine key metrics, features, and indicators for performance analysis\nCollaborate with subject matter experts to translate operational concepts into measurable outputs\nEnsure data quality, consistency, and reliability across datasets\nSupport visualization and reporting of analytical results\nEstablish best practices for data management, documentation, and reproducibility\nContribute to technical planning and project execution\nParticipate in hiring and mentoring of junior data team members as the project expands\nRequired Qualifications & Experience\nBachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field\n5+ years of experience in applied data science or analytics roles\nStrong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)\nExperience working with time-series data and large, complex datasets\nStrong data wrangling, preprocessing, and feature engineering skills\nExperience developing and deploying analytical models in real-world environments\nSolid understanding of statistical methods and data analysis techniques\nExperience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)\nAbility to work independently and translate ambiguous problems into structured solutions\nPreferred Qualifications\nExperience with multi-modal data (e.g., sensor, telemetry, or behavioral data)\nExperience in aerospace, defense, simulation, or human performance analytics\nFamiliarity with machine learning model development and evaluation\nExperience with data architecture, pipelines, and cloud-based tools\nPrior experience in R&D or applied innovation environments\nWhat We’re Looking For\nStrong problem-solving ability and practical mindset\nAbility to work with incomplete or evolving datasets\nComfortable operating in an applied, hands-on environment\nStrong communication skills and ability to work with non-technical stakeholders\nInterest in building new capabilities from the ground up\nCompensation & Benefits\nCompetitive salary based on experience ($110,000 - $150,000 CAD)\nMoving allowance available for qualified candidates\nOpportunity to work on a high-impact, technically challenging project\nPotential for contract extension based on project success and business needs\nWhy Join ITPS\nThis 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.\nAI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process. 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