EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a agile and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Our collaborative team is seeking a Lead Data Scientist to fill a key role. This person will be instrumental in building and deploying AI solutions spanning multiple applications, including statistical analysis and natural language processing. Candidates who are enthusiastic about using data to drive meaningful outcomes are invited to submit an application.

Responsibilities

- Build and deploy AI solutions covering classification, clustering, and anomaly detection
- Perform statistical data analysis and implement machine learning methods
- Oversee full project lifecycles spanning data preparation through model assessment
- Apply Python and SQL skills for data processing and analysis
- Participate in ML Ops activities and model development processes
- Design models that business users can easily access
- Work with cross-functional teams through software development practices and version control systems
- Maintain documentation and update tracking tools like Jira
- Keep current with emerging technologies and apply strong problem-solving abilities
- Produce production-ready outputs and support knowledge transfer among team members

Requirements

- Minimum of 9 years in software engineering with a focus on Data Science
- A minimum of 1 year in a leadership capacity
- Strong command of statistical analysis,



machine learning, and NLP, including awareness of real-world applications and constraints
- Hands-on background in building AI solutions covering classification, clustering, anomaly detection, and NLP
- Skilled in managing end-to-end projects, from data preparation through model construction, testing, and visualization
- Strong Python and SQL skills, including production-level coding and use of data analysis libraries
- Working knowledge of ML Ops, model development cycles, and feature engineering approaches
- Ability to manipulate data and build business-accessible models, including hands-on work with Azure AI Search
- Solid grasp of software development practices, version control systems (such as GitLab), and tracking tools (such as Jira)
- A strong drive to explore new technologies, paired with strong problem-solving skills and a track record of delivering production-ready work
- Strong command of the UNIX command line
- Working knowledge of Agile methodologies
- Strong English communication abilities, at a B2+ level or above

Nice to have

- Background in Cloud Computing
- Exposure to Big Data technologies
- Experience using visualization tools
- Skills in containerization technologies

We offer

- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
- Opportunity to share your ideas on international platforms
- Sponsored Tech Talks & Hackathons
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits

- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

📌 Lead Data Scientist (Chennai)
🏢 EPAM Systems
📍 Chennai