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 dynamic 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.

We are looking for a Lead Data Scientist to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.

Responsibilities

- Develop and implement AI solutions, including classification, clustering, and anomaly detection
- Conduct statistical data analysis and apply machine learning techniques
- Manage complete project delivery from data preparation to model evaluation
- Utilize Python programming and SQL for data manipulation and analysis
- Engage in ML Ops and model development workflows
- Create models that are accessible for business use
- Collaborate with teams using software development methodologies and version control
- Document processes and maintain project tracking tools such as Jira
- Stay updated with new technologies and apply problem-solving skills effectively
- Deliver production-ready solutions and facilitate knowledge sharing

Requirements

- Over 9 years of software engineering experience with a focus on Data Science
- A minimum of 1 year in a relevant leadership capacity
- Strong grasp of statistical data analysis,



machine learning, and NLP, including their practical uses and constraints
- Hands-on experience building AI solutions involving classification, clustering, anomaly detection, and NLP
- Skilled in managing full project lifecycles, from data preparation to model construction, evaluation, and visualization
- Strong command of Python and SQL, with background in production-level coding and data analysis libraries
- Knowledge of ML Ops, model development pipelines, and feature engineering approaches
- Ability to manipulate data and build business-accessible models, including experience with Azure AI Search
- Skilled in software development practices, version control systems (such as GitLab), and tracking tools (such as Jira)
- Eagerness to explore new technologies, paired with strong problem-solving skills and a track record of delivering production-ready work
- Comfortable working with the UNIX command line
- Experience with Agile development approaches
- Strong English communication abilities, at a B2+ level or higher

Nice to have

- Understanding of Cloud Computing
- Background in Big Data tools
- Exposure to visualization tools
- Skills in containerization tools

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 perks
- Paid time off
- Flexible benefits

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

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