Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

& Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

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.

Responsibilities:

Key Responsibilities: Data Strategy: · Develop and implement an enterprise-wide data strategy aligned with business goals and digital transformation initiatives. · Collaborate with senior leadership and business units to understand data needs and translate them into actionable data strategies. · Identify opportunities to leverage data as a strategic asset to drive business innovation and competitive advantage. · Drive data-driven culture by fostering best practices and evangelizing the use of data across the organization. · Monitor industry trends and emerging technologies to continuously evolve the data strategy.

Mandatory skill sets:

CDMP (Certified Data Management Professional), DGSP (Data Governance and Stewardship Professional), BI & Analytics Tool

Preferred skill sets:

CDMP (Certified Data Management Professional), DGSP (Data Governance and Stewardship Professional), BI & Analytics Tool

Years of experience required:

5-10 Years

Education qualification:

BE, B. Tech, MCA, M. Tech, MBA

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

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

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

February 25, 2026