Senior Data Scientist

EPAM Systems; Coimbatore District; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

EPAM Systems is seeking a Senior Data Scientist in India (Tamil Nadu, Coimbatore) to craft applied AI solutions by combining statistics, ML, and NLP. You will lead data preparation through deployment, collaborating across teams to deliver scalable results.

The role requires 5+ years in data science with strong Python/SQL skills, ML/NLP expertise, and experience in ML Ops. You will work in an Agile environment, using GitLab/Jira and UNIX tools to build production-ready code.

Qualifications

• 5+ years of professional Data Science experience.
• Strong knowledge of statistics, ML, and NLP with practical constraints.
• Proficiency in Python and SQL with data analysis libraries.
• Experience building AI solutions in classification, clustering, or NLP.
• Understanding ML Ops and feature engineering in model workflows.
• Willingness to use Azure AI Search for business delivery.
• Familiarity with GitLab and Jira; agile workflow.
• Unix command line proficiency.
• English at least B2 with strong technical communication.

Responsibilities

• Deliver AI solutions covering classification, clustering, anomaly detection, and NLP.
• Employ statistical techniques and ML algorithms to resolve complex challenges.
• Produce production-ready code and run data analysis using Python and SQL.
• Architect workflows for model development and apply feature engineering methods.
• Apply Azure AI Search to improve data access for business users.
• Collaborate with developers and project managers using GitLab and Jira.
• Improve data pipelines and optimize model performance for practical applications.
• Present technical ideas clearly to audiences with varied expertise.
• Incorporate emerging technologies to support problem solving.
• Participate in Agile workflows and perform UNIX command line tasks when required.

Skills

Python

SQL

NLP

Statistics

Machine learning

Data analysis

Communication

Tools

GitLab

Jira

Azure AI Search

UNIX

Git

Job description

We are hiring a Senior Data Scientist to create applied AI solutions by combining statistics, machine learning, and NLP for real, measurable impact. You will take part in complex initiatives from data preparation through deployment, collaborating broadly to deliver scalable results.

Responsibilities

• Deliver AI solutions covering classification, clustering, anomaly detection, and NLP
• Employ statistical techniques and machine learning algorithms to resolve complex challenges
• Produce production-ready code and run data analysis using Python and SQL
• Architect workflows for model development and apply feature engineering methods
• Apply Azure AI Search to improve how business users access data and models
• Partner with developers and project managers and use GitLab and Jira effectively
• Improve data pipelines and optimize model performance for practical applications
• Present technical ideas clearly to audiences with varied expertise
• Incorporate emerging technologies into projects to support problem solving
• Participate in Agile workflows and perform UNIX command line tasks when required

Requirements

• Extensive experience including 5+ years of professional practice in Data Science
• Comprehensive knowledge of statistical data analysis, machine learning, and NLP with awareness of practical constraints
• High proficiency in Python and SQL, including libraries that enable effective data analysis
• Relevant background building AI solutions across classification, clustering, or NLP
• Understanding of ML Ops and feature engineering methods used in model workflows
• Readiness to use Azure AI Search for business-focused model delivery
• Knowledge of software development methodologies and versioning tools like GitLab
• Experience with Jira for project tracking and working within Agile workflows
• Ability to work via UNIX command line and apply innovative technology solutions
• B2 level of English (Upper-Intermediate) or higher with strong technical communication ability

Nice to have

• Knowledge of Cloud Computing, Big Data tools, and containerization solutions
• Capability with data visualization tools to communicate insights effectively