Full-Time

Data & Analytics Consulting Analyst

Updated on 9/11/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

No salary listed

Düsseldorf, Germany + 4 more

More locations: Hamburg, Germany | Frankfurt, Germany | Berlin, Germany | Munich, Germany

Hybrid

Hybrid work is available, with possible weekly anchor days in the office.

Bachelor's, Master's, PhD

Category
Consulting (1)
Required Skills
LLM
Python
Data Science
R
Machine Learning
Risk Management
Data Modeling
Data Analysis
Requirements
  • Bachelor's, Master's, or PhD in a quantitative discipline such as Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, or Engineering.
  • A data-driven mindset and proficiency with numbers.
  • Ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues.
  • Excellent command of German and English, both verbal and written.
Responsibilities
  • Collaborate with colleagues and clients at all levels to help solve complex client 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 tools using natural-language processing to predict credit-rating downgrades from news articles.
  • Model portfolio decarbonization strategies using advanced analytics techniques for large European banks.
  • Optimize and develop promotional programs using historical promotion data by deploying promotion analytics tools.
  • Validate a customer-facing generative artificial intelligence chatbot for a bank.
  • Develop probability-of-default and loss models in Python for European and United Kingdom-based banks.
  • Identify supply-chain risks by combining multiple live data feeds and develop and apply a bespoke artificial-intelligence-based risk methodology.
  • Develop next-best-action models to reduce customer churn for a global telecommunications company.
Desired Qualifications
  • Programming skills in Python or R.
  • Interest and experience in financial services and risk management.

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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