Manager - Data Scientist (Generative AI & Analytics)

IN_Manager_Automation Testing_Data & Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

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Responsibilities: 

 

Roles & Responsibilities: 

• Develop test strategies and plans in accordance with QE policies, including defining and documenting test approach and coordinating and working with change and release management teams. 

• Create and maintain automated test cases. 

• Create and maintain performance test cases. 

• Coordinate and support in the planning and execution of end-to-end QE for Functional and Integration scenarios including creating scope, project test plan, test case execution and coordinating defect assignment and resolution. 

• Support managing the User Acceptance Testing (UAT) process and activities pertaining to UAT. 

• Conduct performance testing for applications including development of performance test plan and test scripts, performance test execution, and analysis of results and performance test report preparation. 

• Manage and conduct requirements validation testing tasks and integration testing for all applications in scope. 

• Manage and conduct end-to-end Regression Test planning and execution for any changes in the in-scope applications landscape. 

• Maintain, and operationalize automation opportunities to improve efficiencies in testing delivery processes in addition to supporting the Continuous Testing and delivery methodology. 

• Maintain an enterprise-wide defect management process to include production incident/problem management integration with development/test defect management. 

• Create and maintain QE service catalog and QE service catalog portal. 

• Create and update QE processes. 

• Create and update QE tooling. 

Required skills and qualifications. 

• Deep knowledge of QE processes and tools  

• Strong understanding of one or many tools from this list Rest-Assured, JMeter, Selenium, Zephyer, JIRA, Postman. 

• Excellent analytical, problem-solving, and decision-making skills 

• Demonstrated knowledge of testing practices, version-control procedures, and defect management processes 

• Superb computer proficiency, including database management 

Mandatory skill sets: 

 

Automation Testing 

Preferred skill sets: 

 

Automation Testing 

Years of experience required: 

 

8-10 Years 

Education qualification: 

 

BE, B.Tech, MCA, M.Tech 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

February 8, 2026

Experience Level

Mid Level