Overview

We are seeking a Lead Data Scientist to deliver high-impact modeling work, including migrating existing solutions to Azure Machine Learning while partnering with a distributed team. You will take ownership of model transitions and adapt to evolving priorities—apply now to help shape what we build next.

Responsibilities

  • Lead migration of three models from Data IQ to Azure Machine Learning
  • Deliver transition of one LLM-based model to the target Azure ML environment
  • Deliver transition of two classical machine learning models to the target Azure ML environment
  • Assess current model artifacts, dependencies, and data flows to plan migration steps
  • Coordinate priorities and timelines with onshore and offshore stakeholders
  • Validate migrated models to ensure functional parity and acceptable performance
  • Adapt solutions and technical approach as future scope and requirements evolve

Requirements

  • 5+ years of data science experience including machine learning delivery
  • Experience working with Large Language Models (LLM)
  • Lead-level ownership and mentoring ability in a data science team
  • Model migration experience moving solutions between platforms or environments
  • Strong applied machine learning knowledge across classical ML and LLM-based approaches
  • Strong problem-solving skills with the ability to adapt to changing scope
  • Upper-Intermediate English proficiency (B2, Upper-Intermediate)

Nice to have

  • Azure Machine Learning experience
  • Machine Learning Engineering experience

[GTS] Benefits (generic, except India)

  • 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
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn