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 create transformative solutions leveraging advanced technologies, including NLP, generative AI, and large language models (LLMs).

This position plays a critical role in advancing the organization's data strategy, particularly in life sciences and healthcare applications.

Responsibilities

Lead the design and deployment of LLM-based generative AI applications tailored to solve complex, real-world problems
Collaborate with cross-functional teams to apply prompt engineering principles and advanced NLP techniques
Apply knowledge of LLM orchestration frameworks like Langchain or Llama-index to enhance model performance and reliability
Direct topic modeling initiatives by employing tools such as BERTopic to extract actionable insights from unstructured datasets
Ensure AI applications comply with ethical and regulatory standards by adhering to Responsible AI principles
Identify innovative opportunities to apply generative AI within the life sciences and healthcare sectors
Provide technical leadership and mentorship to junior data scientists, promoting a culture of growth and excellence
Maintain expertise in NLP, generative AI, and Responsible AI to keep the organization at the forefront of technological advancements

Requirements

5+ years of hands-on experience in data science, demonstrating expertise in Python, natural language processing, and generative AI
Proficiency in working with large language models and applying prompt engineering techniques for enterprise solutions
Familiarity with LLM orchestration frameworks such as Langchain, Llama-index, or HuggingFace
Background in topic modeling, with practical experience utilizing BERTopic to drive advanced data exploration
Strong understanding of AI ethics and Responsible AI considerations in regulated industries such as life sciences and healthcare

Nice to have

Proficiency in creating LLM-based solutions focused on healthcare or life sciences
Expertise in embedding AI-driven systems into workflows within regulated industries
Familiarity with innovative approaches in explainable AI and 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