Lead Data Scientist

EPAM · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: bltc8mttver2znrk2ln

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

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

Collected experience requirement

1+ years