About the role
from listingLine of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & 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.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
*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. "
Job Description & 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 organisations in order to keep up with the changing nature of customers and technology.
We make impactful decisions by mixing mind and machine to leverage data, 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 with client and deliver projects in the AI/ML space
Contribute to reusable assets, accelerators, and internal capability building
Develop and deploy AI solutions on cloud platforms (Azure / AWS / GCP) using MLOps and containerization
Mandatory skill sets:
3 + years of experience in AI/ML engineering, with experience in working in a cloud environment
Proficiency in Python, PyTorch /TensorFlow, 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 AI /ML technologies
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 experience required:
3 to 12 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: Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Azure Devops
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {+ 30 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
June 15, 2026