Lead Data Scientist

Hybrid in India: Madhya Pradesh, Indore, India: Rajasthan, Jaipur

Location-specific conditions & benefits*

India: Madhya Pradesh, Indore

We are seeking a dynamic and experienced Lead Data Scientist to develop innovative solutions using advanced technologies, including NLP, generative AI, and large language models (LLMs).

This role will be critical in shaping the organization's data strategy, focusing on life sciences and healthcare applications.

Responsibilities

Lead the design and development of LLM-based generative AI applications addressing real-world challenges
Collaborate with cross-functional teams to apply and operationalize prompt engineering best practices and advanced NLP techniques
Enhance model performance and reliability through experience in LLM orchestration frameworks like Langchain or Llama-index
Oversee topic modeling projects, utilizing BERTopic to extract actionable insights from unstructured data
Apply Responsible AI principles to ensure AI solutions meet ethical and regulatory standards
Identify impactful opportunities to drive generative AI adoption in the life sciences and healthcare sectors
Provide mentorship and technical leadership to junior data scientists, fostering innovation and excellence
Maintain the organization’s technological edge by staying informed of advancements in NLP, generative AI, and responsible AI

Requirements

At least 5 years of experience in data science, with expertise in Python, natural language processing, and generative AI
Proficiency in implementing large language models and prompt engineering for enterprise solutions
Familiarity with LLM orchestration frameworks such as Langchain, Llama-index, or HuggingFace
Background in topic modeling, with practical experience in BERTopic for advanced analytics
Strong understanding of AI ethics and Responsible AI applied to regulated sectors like healthcare and life sciences

Nice to have

Expertise in developing LLM-based solutions tailored to healthcare or life sciences use cases
Skills in embedding AI-driven systems into workflows within regulated environments
Understanding of experimental or emerging methodologies in explainable AI or LLM interpretability

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
Opportunity to join and participate in life of EPAM's Employee Resource Groups
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn