Lead Data Scientist

We are seeking a dynamic **Lead Data Scientist** to lead our Generative AI services for our client based in Singapore

As a key driver of our Generative AI initiatives, you will spearhead the development of innovative solutions. Your focus will be on harnessing Generative AI technologies like prompt engineering, retrieval augmented generation, function calling, and agentic approaches and scaling them across Asia.

These initiatives will empower us to derive actionable insights from data, optimize operations in the contact center, underwriting, and claims, and enhance our sales, products and services to meet customer needs effectively.

RESPONSIBILITIES
- Working with a team of Data Scientists and ML Engineers to build and support Gen AI services in Asia. Talent management, coaching and building a strong team
- Collaborate with Data engineers and IT Subject Matter Experts (SMEs) to gain a deep understanding of source data and harness large datasets to prepare and optimize data specifically for the development of Generative AI-based solutions
- Develop and implement cutting-edge machine learning models to tackle complex business challenges, utilizing a diverse range of algorithms and techniques, with a primary emphasis on AI tech patterns like RAG and Multi-Agent approach
- Work closely with partners to gather requirements, design data models, and deploy customized solutions that are aligned with company’s Generative AI tech patterns and architecture
- Establish standardized processes, techniques, and tools as best practices for other data scientists, with a specific focus on Generative AI tech patterns and architecture
- Drive the adoption of insights from Generative AI solutions by influencing and collaborating with key stakeholders across the organization
- Innovate and explore creative methods to source and leverage structured and unstructured data specifically for Generative AI solutions using Open AI services
- Stay abreast of industry trends and advancements in AI/ML, with a dedicated focus on Generative AI tech patterns and architecture, to continuously enhance our Generative AI capabilities

**REQUIREMENTS**:

- Advanced degree in a quantitative field (Data Science, Computer Science, Mathematics, Engineering, Statistics) with 8+ years' experience in Generative AI
- Proven expertise in developing and scaling Generative AI solutions on Azure
- Proficiency in Python, R, SQL, and prompt engineering tools (LangChain, LangGraph, AutoGen, Llamaindex)
- Hands-on experience with data frameworks (Azure, Databricks, Spark) and cloud platforms
- Strong communication and leadership skills to lead data science teams
- Preferred experience in insurance analytics, leveraging Generative AI on Azure and OpenAI

WE OFFER
- By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023
- Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
- You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
- We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
- At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us