Lead Data Scientist

EPAM Systems; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

EPAM Systems, Inc. is seeking a Lead Data Scientist in Pune to build and deploy AI solutions across functions. You will drive end-to-end data science projects, from data prep to model deployment, collaborating with cross-functional teams and ensuring production-ready outputs.

You will leverage Python, SQL, NLP, and ML techniques to deliver business value, while contributing to ML Ops practices and documentation. Strong English communication is required.

Qualifications

• 9+ years in software engineering with a focus on Data Science.
• Leadership experience of at least 1 year.
• Hands-on with AI solutions including classification, clustering, anomaly detection.

Responsibilities

• Build and deploy AI solutions spanning multiple applications.

Skills

Python

SQL

NLP

Statistical analysis

Machine learning

Data visualization

UNIX command line

Agile methodologies

English communication

Tools

GitLab

Jira

Azure AI Search

Job description

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.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.ResponsibilitiesBuild and deploy AI solutions covering classification, clustering, and anomaly detectionPerform statistical data analysis and implement machine learning methodsOversee full project lifecycles spanning data preparation through model assessmentApply Python and SQL skills for data processing and analysisParticipate in ML Ops activities and model development processesDesign models that business users can easily accessWork with cross-functional teams through software development practices and version control systemsMaintain documentation and update tracking tools like JiraKeep current with emerging technologies and apply strong problem-solving abilitiesProduce production-ready outputs and support knowledge transfer among team membersRequirementsMinimum of 9 years in software engineering with a focus on Data ScienceA minimum of 1 year in a leadership capacityStrong command of statistical analysis, machine learning, and NLP, including awareness of real-world applications and constraintsHands-on background in building AI solutions covering classification, clustering, anomaly detection, and NLPSkilled in managing end-to-end projects, from data preparation through model construction, testing, and visualizationStrong Python and SQL skills, including production-level coding and use of data analysis librariesWorking knowledge of ML Ops, model development cycles, and feature engineering approachesAbility to manipulate data and build business-accessible models, including hands-on work with Azure AI SearchSolid 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 workStrong command of the UNIX command lineWorking knowledge of Agile methodologiesStrong English communication abilities, at a B2+ level or aboveNice to haveBackground in Cloud ComputingExposure to Big Data technologiesExperience using visualization toolsSkills in containerization technologiesWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)