IN-Senior Associate_ AI/ML/Data Science _GCC_Advisory_ Bangalore

Line 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 PWCAt 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 organisationsin order tokeep 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:

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

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

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

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  Work closely withclientand deliver projects in the AI/ML space
  

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  Contribute to reusable assets, accelerators, and internal capability building
  

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  Develop and deploy AI solutions on cloud platforms (Azure/AWS/GCP) usingMLOpsand containerization
  
  

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

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  Proficiency in Python,PyTorch/TensorFlow, and GenAI/Agentic frameworks
  

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

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

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

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  Excellent communication and stakeholder management skills across geographies
  
  

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  Certifications in cloud platforms and AI/MLtechnologies
  

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

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  Knowledge of Responsible AI, data governance, and compliance frameworks
  

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  Exposure to Agentic AI, Gen AI
  
  

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