Full-Time

Analyst/Senior Analyst

Data & Analytics

Posted on 9/9/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

No salary listed

Paris, France

Hybrid

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

Master's

Category
Consulting (1)
Required Skills
LLM
Python
SAS
R
SQL
Machine Learning
Data Engineering
Data Analysis
Requirements
  • A Master's degree in a quantitative discipline, ideally mathematics, statistics, physics, computer science, data science, or engineering.
  • Strong analytical, writing and documentation, and communication skills.
  • Experience with advanced analytics and data manipulation tools such as R, Python, SAS, SQL, or SPSS.
  • Experience with artificial intelligence, machine learning, and large language models.
  • Ability to work effectively and collaboratively within a team.
  • Ability to work independently with limited supervision and meet defined deadlines.
  • Ability to clearly present results, potential risks or issues, and their implications.
  • Excellent spoken and written English.
  • One to three years of experience in a specialized consulting firm.
Responsibilities
  • Collaborate with colleagues and clients at all levels to help solve strategic client challenges.
  • Develop scalable and customized analytical solutions for clients worldwide.
  • Develop predictive algorithms, machine learning models, visualization tools, data pipelines, artificial intelligence agents, and recommendation engines.
  • Develop a machine learning toolkit based on natural language processing.
  • Model portfolio decarbonization strategies using advanced analytics techniques.
  • Optimize and develop a promotional program using historical promotion data by deploying a promotional analytics toolkit.
  • Validate a customer-facing generative artificial intelligence chatbot.
  • Develop probability-of-default and loss models in Python.
  • Identify supply-chain risks by combining multiple real-time data streams, then develop and apply a customized artificial intelligence-based risk methodology.
  • Develop an agentic commerce application on ChatGPT.
  • Develop a next-best-action model to reduce customer churn.
  • Present results, potential risks or issues, and their implications clearly.
Desired Qualifications
  • Experience with visualization tools.

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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