IN_Senior Associate_Gen AI_D&A_Advisory_Kolkata

PwC; Bidhannagar; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

PwC in India seeks a Senior Associate specialized in Generative AI and data analytics to drive insights and actionable business outcomes. You will leverage Python/PySpark, design GenAI applications, and build scalable AI pipelines in a collaborative, Agile environment.

Ideal candidates have 4–7 years of experience, MBA/MCA/BTech education, and hands-on work with AI governance and modern ML pipelines. This role emphasizes innovation, ethics, and impactful client solutions.

Qualifications

• 4–7 years of experience in Generative AI and data analytics.
• MBA/MCA/BTech degrees with data science focus.

Responsibilities

• Design and implement GenAI applications like chatbots and document summarisation.
• Build scalable AI pipelines on cloud platforms (AWS/Azure).
• Collaborate with cross-functional teams to deliver BI insights.

Skills

Gen AI

Python/Pyspark

RESTful APIs

Git

MLOps

Docker/Kubernetes

AI governance

Agile

Education

MBA

Master of Business Administration

Bachelor of Engineering

Job description

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 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.

Job Description & Summary: A career within…. Responsibilities:

• Strong understanding of Generative AI concepts including Large Language Models (LLMs), prompt engineering, fine‑tuning, and model evaluation.
• Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.
• Hands‑on experience in designing and implementing GenAI applications such as chatbots, document summarisation tools, code assistants, or knowledge search solutions.
• Deep understanding of embedding generation, vector databases (e.g., Amazon OpenSearch, Pinecone, FAISS), and retrieval‑augmented generation (RAG) pipelines.
• Proficiency in Python and frameworks such as LangChain, Transformers, and PyTorch/TensorFlow.
• Experience with LLM APIs (e.g., OpenAI, Anthropic, Claude, Llama, etc.) and vector databases (e.g., OpenSearch, Pinecone, FAISS).
• Ability to design and deploy scalable AI pipelines leveraging cloud platforms - preferably AWS, but Azure experience is also acceptable.
• Understanding of data security, access control, and cost optimisation in a cloud environment.
• Strong knowledge of API development, microservices, and integration of GenAI systems into enterprise applications.
• Strong understanding and hands‑on experience with AWS AI and ML services, including Bedrock, SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch.
• Familiarity with cloud‑native AI services such as AWS Bedrock, SageMaker, or Azure OpenAI.

Mandatory skill sets: GEN AI, Python/Pyspark

Preferred skill sets:

• Proficiency in developing and integrating RESTful APIs
• Understanding of version control systems, such as Git.
• Experience in MLOps/DevOps practices for model deployment and monitoring.
• Exposure to containerisation (Docker, Kubernetes) for AI workloads.
• Knowledge of AI governance, ethical AI, and responsible AI frameworks.
• Strong analytical and problem‑solving abilities, with a focus on performance optimisation.
• Experience working in Agile delivery environments and collaborating with cross‑functional teams.
• Experience integrating GenAI systems with business intelligence or automation solutions (e.g., chatbots, document summarisation, code generation).
• Proven experience in designing and implementing Extract, Transform, Load (ETL) processes
• Knowledge of data governance, ethical AI principles, and responsible AI practices.
• Knowledge in AWS or Azure Data Engineering services

Years of experience required: 4-7 yrs

Education qualification: MBA/MCA/Btech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills Generative AI

• Accepting Feedback
• Accepting Feedback
• Active Listening
• AI Fluency
• AI‑Human Collaboration
• Analytical Thinking
• Applied Macroeconomics
• Business Case Development
• Business Data Analytics
• Business Intelligence and Reporting Tools (BIRT)
• Business Intelligence Development Studio
• 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
• Digital Tooling
• Embracing Change
• {+ 27 more}

Optional Skills

• Desired Languages (If blank, desired languages not specified)

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 October 28, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'll help you grow your skills through challenging, meaningful work so you can go further.