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Paid Internship
Work Mode
Time Spent
Required Degree
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46221Open Positions

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Internship, Analyst - Data & Analytics

Marsh & McLennan Companies
Found 2 months ago
Location
Amsterdam, Netherlands
Duration (Months)
3 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • R
  • Data Science
  • Mathematics
  • Natural Sciences
  • Statistics
  • Computer Science
  • Engineering
  • NLP-based machine learning
  • advanced analytics techniques
  • promotion analytics toolkit
  • GenAI chatbot
  • probability of default and loss models
  • AI based risk methodology
  • next best action model

Soft Skills

  • Data-driven mindset
  • proficient with numbers
  • ability to explain sophisticated data science concepts in an understandable manner
  • eagerness to continuously extend your knowledge of technologies
  • Strong commitment to teamwork
  • resilience in a creative and constantly changing environment
  • curiosity
  • step out of your comfort zone
  • genuine colleagues

Job Description

During your 2 to 4-month internship, you will delve into the vibrant life at Oliver Wyman. This is not merely about enhancing your resume; it’s your chance to truly ignite your career alongside us. You will thrive in a collaborative environment populated by inquisitive, ambitious, and empathetic individuals. Our team is characterized by a rich diversity of thought and culture, all dedicated to supporting your professional and personal growth. This immersive learning experience will provide you with essential skills that will last a lifetime. 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. Notable projects include: * Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information * Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks * Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit * Validating a customer-facing GenAI chatbot for an American bank * Developing probability of default and loss models in Python for European and UK-based banks * Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information * Developing a next best action model to reduce customer churn for a global telecom company

Requirements

  • You are currently studying or have recently obtained a Bachelor, Master 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 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

Nice to Haves

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

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