ABOUT THE JOB SENIOR DATA SCIENTIST (GENAI)

We’re seeking a talented AI professional to drive transformative change in our client’s organization. As a key member of the AI team, you’ll develop and deploy cutting-edge Generative AI (GenAI) solutions that unlock new capabilities and drive significant productivity gains.

ESSENTIAL REQUIREMENTS:

• Technical Expertise : Postgraduate degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science) with a strong foundation in Deep Learning, Python programming, and data science tools like Pytorch and LangChain.
• Proven Experience : 5+ years of advanced data science experience, preferably in banking/financial services, with a proven track record of solving complex business problems using data-driven approaches.
• GenAI Expertise : Experience in end-to-end GenAI/LLM deployment, with a strong portfolio of successful projects.
• Soft Skills : Excellent communication, project management, and data visualization skills, with the ability to work collaboratively in a fast-paced environment.

DESIRABLE QUALIFICATIONS:

• AI Research : AI-related thesis/publications on GenAI topics, demonstrating thought leadership and expertise.
• Advanced AI Skills : Experience in Agentic AI, Visual/Audio/Multimodal generation, or other cutting-edge AI technologies.
• Domain Expertise : Passion and expertise in Market Portfolio Optimization, Econometric Modelling, or Forecasting, with the ability to apply these skills to drive business value.

• Drive Innovation : Collaborate with cross-functional teams to develop and deploy GenAI solutions that drive business value.
• Technical Leadership : Research, experiment, and develop performant GenAI capabilities that meet strategic project objectives.
• Solution Development : Design, prototype, and deploy GenAI applications using agile methodologies, ensuring seamless integration into the bank’s ecosystem.
• Expertise and Advisory : Stay updated on emerging AI advancements, providing expert advice and contributing to validation and benchmarking exercises.
• Stakeholder Management : Effectively manage stakeholder interactions, ensuring successful project outcomes.