GeBBS - Lead Data Scientist - Generative AI / LLM

Job Title : Lead Data Scientist

Location : Airoli, Navi Mumbai, Maharashtra, India

Work from office

Job Description :

We are seeking a highly skilled Lead Data Scientist with expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP).

The ideal candidate will have a minimum of 4 years of experience in data science and a proven track record of leading projects from conception to deployment.

Key member of advance analytics to create & assist in development of insights products for our corporate clients and In-house Product.

Key Responsibilities :

• Team Management
• Lead the design, development, and implementation of advanced ML models and algorithms.
• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
• Mentor and guide junior data scientists in best practices and methodologies.
• Stay updated with the latest advancements in GenAI, LLM, and NLP technologies.
• Create ML models and advance algorithms to identify and flag risky transactions & card members
• Work on new innovative Generative AI based solutions to enhance user experience of our digital products and increase productivity of the team
• Gain expertise on data understanding and tables to maximize their usage in insight products
• Deploy models in enterprise tools and monitor their performance over time
• Work with product, UX and tech team to deliver product in an agile framework
• Conceptualize, develop and prototype new insights products / product / feature enhancements for travel :
• 4+ years of experience in data science or a related field.
• Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering - Azure, AWS - SQL, MongoDB
• Strong understanding of machine learning frameworks
• Experience with NLP techniques and tools.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

(ref : hirist.tech)