Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
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.
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.
& Summary:A career within….
Responsibilities
Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks
Build scalable backend systems using Python, ensuring seamless integration with UI/UX components
Design and optimize generative AI models to address diverse business challenges
Fine-tune pre-trained LLMs to align with specific use cases
Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions
Collaborate with clients to gather requirements and develop customized AI capabilities
Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance
Mandatory skill sets:
Proficiency in Python for application development
Experience working with Generative AI frameworksand libraries (e.g., Hugging Face, OpenAI API,LangChain)
Strong knowledge of LLMs and fine-tuning techniques
Experience with RAG(Retrieval-Augmented Generation) techniques & Agentic workflow
Hands-on experience with Python web frameworks like Flask,FastAPI, or Django
Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling
Frontend development skills (HTML, JavaScript, React)
Strong problem-solving and debugging skills
Experience with version controlsystems such as Git/Bitbucket
Understanding of MLOpsframeworks for model lifecycle management
Preferred skill sets
Exposure to DevOpsculture with hands on experience in Jenkins for CI/CD would be added advantage.
Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage
Years of experience required
4 – 7 yrs
Education qualification
B.tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration)Degrees/Field of Study preferred: Bachelor of Engineering
Certifications (if blank, certifications not specified)
Required Skills
Microsoft Azure, PySpark
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture Development, 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, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
March 31, 2026

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
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