Generative AI- Data Scientist-Senior Associate

Overview

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Years of Experience: Candidates with 4+ years of hands on experience

As a Senior Associate in PwC US - Acceleration Center’s CEDA (GenAI) practice, you will be a hands-on software engineer focused on designing, building and deploying production-ready data and AI solutions. Working closely with engineering managers, architects and data scientists, you will turn complex business requirements into reliable, well-tested code and cloud-native services that unlock actionable insights and next-generation AI capabilities.

Key Responsibilities

• Implement Python/FastAPI micro-services, AWS Lambda, Azure Functions or similar serverless components, and containerized workloads on Kubernetes.
• Write unit/integration tests, perform code reviews, enforce coding standards, and empower CI/CD via GitHub Actions, Azure DevOps or similar.
• Work in Agile squads, refine Jira tickets, create technical documentation and knowledge-share with peers.
• Instrument services with logging/metrics, investigate incidents, and improve performance and reliability.
• Write SQL/Python ETL, transform and load structured & unstructured data into data lakes/warehouses (S3, ADLS, Cosmos DB, SQL DB, BigQuery, etc.).
  
  

• 4-6 years of professional software development experience, preferably in data-intensive or AI-enabled products.
• Strong Python programming with a solid grasp of object-oriented principles; experience in JavaScript/TypeScript is a plus.
• Hands-on experience with cloud services such as AWS Lambda, Azure Functions, EventBridge/Event Grid, API Gateway, Cosmos DB, Azure SQL DB, S3, ADLS and managed Kubernetes (EKS/AKS/GKE).
• Practical knowledge of Docker and container orchestration.
• Familiarity with GenAI/AI/ML fundamentals; exposure to RAG or vector search techniques is advantageous.
• Proficient with GitHub (branches, PR workflows), Jira (or equivalent ticketing systems) and creating clear documentation (e.g., Markdown, Confluence).
• Working knowledge of front-end fundamentals (HTML, CSS, React/Angular) sufficient to collaborate on end-to-end solutions.
• Experience implementing automated tests, CI/CD pipelines and Infrastructure-as-Code (Terraform, CloudFormation or ARM).
• Strong problem-solving skills, attention to detail, and ability to work independently in a fast-paced, Agile environment.
  
  

• Contribution to Retrieval-Augmented Generation (RAG) pipelines, vector search and prompt engineering to enhance Large Language Model (LLM) solutions.
• Contribution to open-source projects or tech communities.
• Cloud certification (AWS Developer Associate, Azure Developer or GCP Professional Cloud Developer).
• Experience with data governance, security and compliance best practices.
  
  

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree