Lead Data Scientist
Job in
Mississauga, Ontario, Canada
Listing for:
MCD McKesson Canada Corporation / La Corporation McKesson Canada
Full Time, Part Time
position
Listed on 2026-03-03
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
Current Need:
The Lead Data Scientist (DS) will drive the analytics strategy for “AI for O&M Finance” program as well as build AI solutions hands-on that enhance decision intelligence, operational efficiency, and risk management across Oncology & Multispecialty (O&M) Finance. This role blends senior-level DS ownership across multiple projects and hands-on technical capability — operating at the intersection of Advanced Analytics & Data Science, Engineering and Product.
It is a fantastic opportunity for an accomplished data scientist to expand their impact beyond just their individual workstream. The role demands deep technical acumen in data science and AI/ML and strong critical thinking skills.
Key Responsibilities
:
Advanced Analytics and AI Strategy and Architecture
Define and own the approach for O&M Finance use cases, e.g., Fraud & Risk Management, Financial Controller / Agentic AI, Forecasting, Collections Improvement AnalyticsDecide when to use data-driven rules vs advanced analytics vs AI/ML (or hybrid) approach, based on value, feasibility, relevancePartner with the TPM to define scope, success metrics, and solution iteration plansChampions adoption of new AI/ML technology and methods, driving continuous improvement across projectsTechnical Work and Collaboration
Lead development of time series forecasting models (short-term, long-term, sparse data), anomaly detection models (transactions, journals, contracts, pricing), scenario modeling for finance decisions, document entity extraction, and agentic workflowsWork closely with Data and ML Engineering teams to ensure feasibility, scalability, and alignment with architectural standardsWork with minimal ML engineering support to harden models for production, and define monitoring, drift detection, and retraining strategiesCollaborate with the project leadership and Lead Technical Product Manager to inform the roadmap for AI‑enabled finance capabilities from a technical standpointAssist with preparation for AI Review Board and Enterprise Architecture Review BoardEnsure explainability and auditability for finance and SOX contexts where necessaryMentor Sr. Data Scientists and other junior staff on the projectStakeholder Engagement
Translate business risk (e.g., concessions, mis‑billing) into actionable technical AI/ML designBuilds strong, trust-based relationships with stakeholders, including business units, data engineering, and executive leadership through high quality workDefine technical aspects of UAT and resolve issues in a well-organized manner.Communication and Documentation
Communicate progress, risks, and dependencies to product manager and seek leadership support where necessaryCreate and maintain product documentation, including technical specs, release notes, and user guidesMinimum Requirement:
Degree or equivalent and typically requires 10+ years of relevant experience
Critical Skills
10+ years of professional experience in progressively advancing data science and applied AI/ML rolesStrong background in forecasting, classification, anomaly detection / risk modeling, statistical modelingExperience working with financial data (AR/AP, GL, contracts)Demonstrated experience implementing Agent workflows and/or LLM-augmented analyticsClearly demonstrated experience working with Python, SQLSolid understanding of modern digital architectures, APIs, cloud platforms, data ecosystems, and software development practicesHands-on experience in health care industry (especially oncology) and/or regulated environment is a plusExcellent communication, leadership, and stakeholder management skillsAdditional
Skills:
Experience supporting SOX, audit, or financial controlsPrior work in healthcare, life sciences, or complex B2B financeWorking Conditions:
In office requirement, we are Flex and Connect with 2 days a week in office
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always…
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