Lead Data Scientist

We are looking for a forward-thinking and skilled Lead Data Scientist to create transformative solutions using state-of-the-art technologies, including NLP, generative AI, and large language models (LLMs). This position will play a critical role in defining the organization’s data strategy with a strong emphasis on applications in life sciences and healthcare. Responsibilities Design, develop, and deploy LLM-based generative AI applications addressing real-world business challengesCollaborate with cross-functional teams to ensure seamless integration and operationalization of advanced NLP techniques and prompt engineering practicesUse expertise in LLM orchestration frameworks like Langchain or Llama-index to boost model performance and dependabilityOversee topic modeling projects, such as leveraging BERTopic, to extract valuable insights from unstructured datasetsPromote Responsible AI principles by ensuring solutions meet ethical standards and comply with regulationsFind innovative opportunities within the life sciences and healthcare fields to implement generative AI solutions effectivelyMentor junior data scientists and provide technical guidance, establishing a culture of innovation and excellenceStay informed about the latest advancements in NLP, generative AI, and Responsible AI to maintain the organization’s position as a technological leader Requirements Minimum 5 years of direct experience in data science, with proficiency in Python, natural language processing, and generative AICompetency in utilizing large language models and applying prompt engineering in enterprise contextsFamiliarity with LLM orchestration tools such as Langchain, Llama-index, or HuggingFaceBackground in topic modeling, including hands-on work with BERTopic for sophisticated data analysisStrong understanding of ethical AI practices and Responsible AI applications in regulated industries like life sciences or healthcare Nice to have Proficiency in creating LLM-based solutions tailored specifically to the healthcare or life sciences sectorsKnowledge of incorporating AI-driven systems into operational workflows in compliance-focused industriesCompetency in modern experimental techniques for explainable AI or LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn