Aktiviere Job-Benachrichtigungen per E-Mail!

Oliver Wyman - Data & Analytics Consulting - Analyst (m/d/f) - Berlin

Marsh McLennan Companies

Hamburg

Vor Ort

EUR 60.000 - 100.000

Vollzeit

Vor 30+ Tagen

Zusammenfassung

Join a dynamic and rapidly growing team within a forward-thinking consultancy that specializes in data and analytics. In this role, you'll tackle complex challenges across various industries, leveraging your quantitative skills to develop innovative solutions. With opportunities for international travel and access to cutting-edge technologies, you will expand your expertise while working in a collaborative environment that values diverse perspectives. This position not only offers a steep learning curve but also a supportive network of colleagues committed to your professional growth. If you're eager to make a meaningful impact, we look forward to welcoming you aboard!

Leistungen

Flexible work hours
International travel opportunities
Career coaching and mentorship
Work-life balance initiatives

Qualifikationen

  • Proficiency in Python or R with a data-driven mindset.
  • Ability to communicate complex data science concepts clearly.

Aufgaben

  • Collaborate with clients to solve analytical challenges.
  • Develop tailored solutions and assess their effectiveness.

Kenntnisse

Data Science
Python
R
Statistical Analysis
Teamwork
Communication

Ausbildung

Bachelor's in Data Science
Master’s in Mathematics
PhD in Computer Science

Tools

Machine Learning
NLP
Data Analytics Tools

Jobbeschreibung

Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non-profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact.

Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and operates worldwide, with a focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to serve a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation.

We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. At Oliver Wyman and within DNA, we are committed to fostering an inclusive environment where everyone can thrive and reach their full potential.

What You Will Do

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 prototypes, assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable in delivering impactful results for our clients.

Notable projects include :
  • Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles.
  • Modeling 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.
  • Developing a next best action model to reduce customer churn for a global telecom company.
Why Join Us?

Expect a steep learning curve, as no two projects are ever the same. You’ll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures. With access to the latest technologies, you’ll constantly expand your toolkit with each new endeavor.

You won’t be alone on this journey; various colleagues will guide and coach you throughout your career. You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also prioritize sustainable work-life balance, providing flexibility to balance your career aspirations with your personal life.

This role will empower you to embrace your curiosity and step out of your comfort zone. You will work alongside genuine colleagues who measure success by the lasting impact we create together. If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply?
  • 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, with the ability to explain sophisticated data science concepts clearly to clients and colleagues
  • Programming skills in Python or R are preferred, but an eagerness to learn new technologies is essential
  • Strong commitment to teamwork and resilience in a creative and constantly changing environment
  • Excellent command of German & English (verbal and written)
  • Interest and experience in financial services and risk management is a plus
How to Apply?

Please submit your CV, cover letter, and transcripts. For more information about Oliver Wyman, please visit our website or apply to attend one of our events, details of which can be found on our careers page.

Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies.

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.