Overview
Lead the design, development and deployment of data science solutions supporting AI-driven automation and cognitive solutions within the Cloud Engineering, Data & Analytics practice, guiding teams and taking ownership of client workstreams.
What you'll do
- Lead AI and machine learning initiatives across data science workstreams from problem framing through model deployment
- Develop predictive models, neural networks, and natural language processing solutions that address complex business and client challenges
- Translate large and varied data sources into usable features through data modeling, pipeline development, and quality checks
- Apply statistical analysis, machine learning methods, and data-driven decision making to generate actionable insights
- Guide technical design choices for data science workflows, tooling, and scalable implementation approaches
- Mentor team members on analytical methods, coding standards, and model evaluation techniques
- Review model performance, troubleshoot production issues, and refine algorithms to improve reliability and accuracy
- Collaborate with data engineering and technology teams to align solution design with platform capabilities and delivery needs
What you'll need
- At least a Bachelor's degree
- At least 8 years of experience
- Oral and written proficiency in English
Nice to have
- Master's Degree in Data Science, Computer Science, Statistics, Mathematics, or Engineering
- Relevant certifications in Data Science, Cloud, or Machine Learning technologies
- Excelling in programming with Python and R
- Experience in building and validating predictive models
- Utilizing cloud platforms for model training and deployment
- Applying statistical techniques for model performance validation
- Familiarity with containerization and orchestration tools
- Leading and mentoring teams of 5–10 members
- Experience in consulting engagements with client stakeholders
Details
- Location: Bangalore (SDC), DLF Cyber City, Gurugram
- Management level: Manager
- Travel requirements: Not specified
- Job posting end date: October 17, 2026
Read the full description and apply on the company’s own careers page.