Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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.

& Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

• Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases

• Conduct data exploration, feature engineering, model training, tuning, and performance evaluation

• Collaborate with data engineers to develop robust data pipelines and integrate models into production systems

• Work closely withclientand deliver projects in the AI/ML space

• Contribute to reusable assets, accelerators, and internal capability building

• Develop and deploy AI solutions on cloud platforms (AzureAWSGCP) usingMLOpsand containerization

Mandatory skill sets:

• 3+ years of experience in AI/MLengineering, withexperience in working in a cloud environment

• Proficiencyin Python,PyTorchTensorFlow, and GenAI/Agentic frameworks

• Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI)

• Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering

• Strong understanding of autonomous agents, orchestration, and multi-agent systems

• Excellent communication and stakeholder management skills across geographies

Preferred skill sets:

• Certifications in cloud platforms and AIMLtechnologies

• Exposure to enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing

• Knowledge of Responsible AI, data governance, and compliance frameworks

• Exposure to Agentic AI, Gen AI

Years of experiencerequired

3 to8 years

Education qualification:

BE,B.Tech, ME,M,Tech, MBA, MCA (60% above)

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

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

Certifications (if blank, certifications not specified)

Required Skills

Artificial Intelligence (AI), Machine Learning

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, 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, Machine Learning {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 15, 2026