Lead Data Scientist

TymblHub; Hyderabad; On-site; INR 3,980,000 - 4,570,000; Full time

Job summary

EPAM Systems in Hyderabad is seeking a Lead Data Scientist to drive AI initiatives across multiple applications. You will build and deploy AI models, perform statistical analysis, and work with cross-functional teams to deliver production-ready solutions.

The role requires strong Python/SQL skills, ML/NLP expertise, and hands-on leadership to guide projects from data prep to model deployment. Expect collaboration, documentation, and participation in ML Ops and modern software practices in a

Qualifications

• Minimum 9 years in software engineering with a focus on Data Science.
• At least 1 year in a leadership role.
• Strong background in statistics, ML, and NLP.
• Hands-on experience building AI solutions including NLP and anomaly detection.
• Production-grade coding in Python and SQL; tooling for data analysis.

Responsibilities

• Build and deploy AI solutions spanning classification, clustering, anomaly detection, and NLP.
• Oversee end-to-end project lifecycles from data prep to model evaluation.
• Apply Python and SQL for data processing and analysis.
• Contribute to ML Ops activities and model development processes.
• Maintain documentation and track work with Jira; collaborate with cross-functional teams.

Skills

Python

SQL

NLP

ML Ops

Leadership

Data Analysis

Git

UNIX

Agile

Communication

Tools

GitLab

Jira

Azure AI Search

UNIX Command Line

Job description

# Lead Data ScientistEPAM SystemsPosted on October 7, 2026---Experience8 - 12 yrsSalary (CTC)₹39.8L - ₹45.7LJob LocationHyderabad, IndiaVacancy1DesignationLead Data ScientistJob TypeNot specified---## Job DescriptionOur 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