Senior Data Scientist

EPAM Systems, Inc.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

EPAM Systems, Inc. in Bengaluru seeks a Senior Data Scientist to deliver measurable AI outcomes across data preparation, modeling and deployment.

You will design and implement end-to-end data science solutions, collaborating with cross-functional teams to translate business needs into predictive models. You will build production-ready Python/SQL workflows, apply ML and NLP techniques, and work with Azure AI Search to simplify access to data and models for business users.

Qualifications

• 5+ years of professional work in Data Science.
• Strong analytical skills in statistics, ML, NLP for real-world problems.
• Advanced proficiency in Python and SQL.
• Experience developing AI solutions (classification, clustering, NLP).
• Familiarity with ML Ops and feature engineering for model workflows.

Responsibilities

• Deliver AI solutions such as classification, clustering, anomaly detection, and NLP.
• Use statistical methods and ML algorithms to solve tasks.
• Develop production-ready code and perform data analysis with Python and SQL.
• Create workflows for model development and feature engineering.
• Leverage Azure AI Search to improve data and model accessibility for business needs.
• Coordinate with developers and project managers using GitLab and Jira.
• Refine data pipelines and tune model performance for deployments.
• Explain technical ideas to both technical and non-technical audiences.
• Evaluate emerging technologies to solve project problems.
• Support Agile workflows and UNIX command line tasks.

Skills

Data Science experience

Statistics

Machine Learning

NLP

Python

SQL

ML Ops

Unix command line

Communication

Education

Tools

Azure AI Search

GitLab

Jira

Job description

We are building a team around a Senior Data Scientist role focused on measurable AI outcomes through statistical analysis, machine learning, and NLP. You will work across the full lifecycle, from preparing data to deploying models, coordinating closely with multiple stakeholders.

Responsibilities

• Deliver AI solutions such as classification, clustering, anomaly detection, and NLP
• Use statistical techniques and machine learning algorithms to address challenging tasks
• Develop production-ready code and perform data analysis with Python and SQL
• Create workflows for model development and apply feature engineering methods
• Use Azure AI Search to make data and models easier to consume for business needs
• Coordinate with developers and project managers using GitLab and Jira
• Refine data pipelines and tune model performance for practical deployments
• Explain technical ideas effectively to both technical and non-technical audiences
• Evaluate and apply emerging technologies to solve project problems
• Support Agile workflows and stay effective with UNIX command line tasks

Requirements

• Demonstrated experience of 5+ years of professional work in Data Science
• Strong analytical skills in statistical data analysis, machine learning, and NLP while accounting for real-world limitations
• Advanced proficiency in Python and SQL, including libraries that support effective data analysis
• Practical experience developing AI solutions such as classification, clustering, or NLP
• Good understanding of ML Ops and feature engineering techniques for model workflows
• Ability to work with Azure AI Search to support business-driven model delivery
• Solid grasp of software development practices and versioning tools such as GitLab
• Familiarity with Jira for project tracking and participation in Agile workflows
• Competence with UNIX command line tasks and applying innovative technology solutions
• B2 level of English (Upper-Intermediate) or higher with strong technical communication ability
• Nice to have Exposure to Cloud Computing, Big Data tools, and containerization solutions
• Experience with data visualization tools for communicating insights