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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Data & Analytics Internship

Marsh McLennan
Found 2 months ago
Location
Milan, Italy
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • R
  • Data Science
  • Mathematics
  • Natural Sciences
  • Statistics
  • Computer Science
  • Engineering
  • NLP-based machine learning
  • Modelling
  • Advanced analytics techniques
  • GenAI chatbot
  • Probability of default and loss models
  • AI based risk methodology
  • Next best action model
  • Data analysis
  • Data modeling
  • Machine learning

Soft Skills

  • Teamwork
  • Resilience
  • Curiosity
  • Ability to explain sophisticated data science concepts
  • Collaboration

Job Description

As a member of Oliver Wyman’s Data & Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges. Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable to delivering impactful results for our clients.

Requirements

  • Bachelor's, Master’s, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.)
  • Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues
  • Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies
  • Strong commitment to teamwork and resilience in a creative and constantly changing environment
  • Excellent command of the English and Italian language (verbal and written)
  • Interest and experience in financial services and risk management is a plus

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
  • Italian

Nice to Haves

  • Interest and experience in financial services and risk management
▶Apply Now

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