Full-Time

Data & Analytics Analyst

Data & Analytics

Updated on 9/10/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

No salary listed

Toronto, ON, Canada

Hybrid

At least three days per week in the local office or onsite with clients.

Bachelor's, Master's, PhD

Category
Consulting
Required Skills
Python
Data Science
R
Machine Learning
Data Analysis
Requirements
  • A Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program, including Data Science, Mathematics, Economics, Natural Sciences, Statistics, Computer Science, or Engineering.
  • A data-driven mindset and proficiency with numbers, along with the ability to explain sophisticated data science concepts clearly to clients and colleagues.
  • Programming skills in Python or R, or an eagerness to continuously extend knowledge of technologies.
  • A strong commitment to teamwork and resilience in a creative and constantly changing environment.
  • Excellent command of the English language, both verbal and written.
Responsibilities
  • Collaborate with colleagues and clients at all levels to help solve clients' pressing challenges.
  • Design potential solutions for analytical challenges.
  • Implement analytical prototypes and assess their effectiveness.
  • Engage in discussions with clients and colleagues to share ideas.
  • Develop machine-learning and natural-language-processing toolkits and models for applications including credit ratings, customer churn, and risk assessment.
  • Model portfolio decarbonization strategies using advanced analytics techniques.
  • Optimize and develop promotional programs using historical promotion data.
  • Validate customer-facing generative artificial intelligence chatbots.
  • Develop probability-of-default and loss models in Python.
  • Identify supply-chain risks by combining multiple live data feeds and applying an artificial-intelligence-based risk methodology.
  • Perform commercial due diligence on artificial-intelligence software systems and assess impacts of regulatory changes.
  • Implement artificial intelligence to remediate billing discrepancies.
  • Assess the artificial-intelligence readiness of companies.
  • Restructure pricing propositions for financial services firms.
Desired Qualifications
  • Interest and experience in private equity and private markets.

Marsh, formerly Marsh McLennan, is a global professional services firm focused on risk, insurance, reinsurance, talent and business strategy. Its operating businesses help organizations arrange coverage, model and transfer risk, design workforce programs and address complex management questions. Clients range from growing companies to governments and multinational enterprises. The group combines advisory expertise with insurance-market access and data, making it broader than an insurance broker alone while remaining primarily a business-to-business services organization.

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