Data Scientist (AI/Fintech)

TL;DR

Data Scientist (AI/Fintech): Developing advanced analytical models and machine learning toolkits for global clients with an accent on NLP, GenAI, and predictive risk modeling. Focus on implementing prototypes, assessing effectiveness, and translating complex data science concepts into actionable business strategies for the financial services sector.

Location: Hybrid role requiring office presence for collaboration

Company

hirify.global is a global leader in risk, reinsurance, and management consulting, operating through its business Oliver Wyman to provide deep industry insight and innovative data-driven solutions.

What you will do

• Design and implement analytical solutions for complex client challenges across various industries.
• Develop and validate machine learning models, including NLP and GenAI applications.
• Build prototypes and assess their effectiveness in real-world business scenarios.
• Collaborate with cross-functional teams and clients to share ideas and deliver impactful results.
• Apply advanced analytics to areas such as portfolio decarbonization, churn reduction, and risk management.

Requirements

• Bachelor's, Master’s, or PhD in a quantitative discipline (Data Science, Math, CS, Engineering, etc.).
• Proficiency in Python or R with a strong data-driven mindset.
• Excellent command of German and English (verbal and written).
• Ability to explain sophisticated data science concepts to non-technical stakeholders.
• Commitment to teamwork and resilience in a fast-paced consulting environment.

Nice to have

• Experience or strong interest in financial services and risk management.

Culture & Benefits

• Hybrid working arrangements balancing flexibility with in-office collaboration.
• Steep learning curve with exposure to diverse projects and international travel.
• Dedicated support system including a buddy, career adviser, and talent manager.
• Commitment to sustainable work-life quality and inclusive team culture.
• Access to latest technologies and continuous professional development opportunities.

Hiring process

• Challenging and interactive process featuring a mix of conversational and case interviews.
• Focus on assessing strengths, interests, and cultural fit.