Data Scientist - AI ML - Engineer - Manager

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data Scientist - AI/ML - Engineer - Manager you will lead the design, development, and deployment of data science solutions that support AI-driven automation and cognitive solutions within our Cloud Engineering, Data & Analytics practice. As a Manager you will guide teams, coach junior professionals, and take ownership of client workstreams while applying business judgment, technology awareness, and attention to detail across delivery. In this role at PwC Acceleration Center India, you will apply your skills in machine learning, model development, data analysis, and solution delivery to help shape practical outcomes for client needs and contribute to work across data science and engineering.

Responsibilities

• Leading AI and machine learning initiatives across data science workstreams from problem framing through model deployment
• Developing predictive models, neural networks, and natural language processing solutions that address complex business and client challenges
• Translating large and varied data sources into usable features through data modeling, pipeline development, and quality checks
• Applying statistical analysis, machine learning methods, and data-driven decision making to generate actionable insights
• Guiding technical design choices for data science workflows, tooling, and scalable implementation approaches
• Mentoring team members on analytical methods, coding standards, and model evaluation techniques
• Reviewing model performance, troubleshooting production issues, and refining algorithms to improve reliability and accuracy
• Collaborating with data engineering and technology teams to align solution design with platform capabilities and delivery needs
  
  

• At least a Bachelor's degree
• At least 8 years of experience
• Oral and written proficiency in English required
  
  

• Master's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering
• Relevant certifications in Data Science, Cloud, or Machine Learning technologies
• Excelling in programming with Python and R
• Demonstrating 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