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10 дней назад

Data & Analytics Intern

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data & Analytics Intern (AI/Data Science): Developing analytical solutions for client problems, including credit risk models, portfolio decarbonization strategies, promotion optimization, and GenAI chatbot validation, with an accent on Python/R, quantitative analysis, and financial services. Focus on building and validating models, analyzing live data, translating findings into recommendations, and communicating complex data science concepts to clients.

Company

Oliver Wyman is the management consulting business of hirify.global, delivering Data & Analytics solutions across financial services, climate and sustainability, energy, retail, and transportation.

What you will do

  • Contribute to Data & Analytics projects that help clients solve complex business and analytical problems.
  • Structure client problems, identify decisions supported by analysis, assess available data, and select suitable analytical approaches.
  • Conduct analyses and build or validate models and analytical tools using Python, R, AI, and GenAI methods.
  • Work on use cases including credit rating downgrade prediction, portfolio decarbonization, promotion optimization, credit risk modeling, chatbot validation, and supply chain risk analysis.
  • Translate analytical findings into clear recommendations and discuss results with colleagues and clients.
  • Collaborate with international project teams and travel or work on-site with clients when required.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in a quantitative discipline such as Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, or Engineering.
  • Strong academic record, data-driven mindset, and confidence working with numbers.
  • Proficiency in Python or R and willingness to expand technical and analytical skills.
  • Ability to explain sophisticated data science concepts clearly to clients and colleagues.
  • Strong teamwork skills and resilience in a creative, dynamic environment.
  • Business fluency in German and English is required; willingness to travel and work on-site with clients is also required.

Nice to have

  • Interest in or experience with financial services and risk management.

Culture & Benefits

  • Hybrid working arrangements combine mobile working with office collaboration and professional development.
  • Remote work is authorized, with weekly in-person anchor days scheduled by some teams.
  • Hands-on internship experience with support, coaching, and access to varied projects.
  • International exposure through collaboration across cultures and opportunities to travel.
  • Inclusive, collaborative environment that values diverse perspectives and initiative.

Hiring process

  • Submit a CV, cover letter, employment references, and academic transcripts.
  • Interview process includes conversational and case interviews.

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