INSenior AssociateSAP SAC Data and AnalyticsAdvisoryPan India

Gurgaon - India

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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.

Job Description

Why PWC

At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 firms 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:

-Design develop and deploy AI/ML models for real-world business use cases across structured and unstructured data domains. -Implement and fine-tune Large Language Models (LLMs) such as GPT Llama Mistral Claude Gemini or Falcon for enterprise and domain-specific applications. -Build and integrate Generative AI solutions for text image or multimodal content generation using frameworks such as LangChain LlamaIndex or OpenAI API. -Develop AI agents and agentic workflows capable of reasoning planning and executing multi-step tasks using tool use retrieval-augmented generation (RAG) and memory mechanisms. -Collaborate with product engineering and data teams to integrate AI capabilities into enterprise applications and customer solutions. -Design prompt engineering context optimization and feedback loops for improving model accuracy and reliability. -Build and maintain data pipelines vector databases (e.g. Pinecone FAISS ChromaDB) and retrieval systems for LLM applications. -Evaluate model performance using relevant metrics and A/B testing frameworks; ensure continuous improvement through experimentation. -Implement and maintain responsible AI practices bias detection model explainability data governance and privacy compliance. -Stay current with the latest research in Generative AI Agentic

AI and Machine Learning frameworks to apply innovations in production use cases.

Mandatory skill sets:

AI/ML NLP and Generative AI models

Preferred skill sets:

Azure Google Cloud

Years of experience required:

3-5 Years

Education qualification:

Advanced degree (Masters or Ph.D.) in Computer Science Artificial Intelligence Data Science or related discipline.

Education (if blank degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering MBA (Master of Business Administration) Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank certifications not specified)

Required Skills

Artificial Intelligence (AI) Natural Language Processing (NLP)

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability 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 Data Modeling Data Pipeline 27 more

Desired Languages (If blank desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

Required Experience:

Senior IC

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clien...