About the role
structured by ORILine of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level 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…
What you will do
- Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models.
- Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance.
- Build and deploy AI pipelines for text, image, audio, and video generation.
- Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.).
- Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG).
What they are looking for
- Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face).
- Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).
Nice to have
- Experience building chatbots, copilots, or AI assistants.
- Contributions to open-source AI projects or published research in AI/ML.
Benefits
- Inclusive benefits
- Flexibility programmes
- Mentorship
- Support your wellbeing
Full posting text
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
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 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.
*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…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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 and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models.
Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance.
Build and deploy AI pipelines for text, image, audio, and video generation.
Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.).
Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG).
Stay updated on emerging trends in AI research, model architectures, and generative technologies.
Mandatory skill sets:
Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face).
Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).
Preferred skill sets:
Experience building chatbots, copilots, or AI assistants.
Contributions to open-source AI projects or published research in AI/ML.
Years of experience required:
0-2
Education Details
B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Generative AI
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 36 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
September 18, 2026
Seniority level: Associate
Employment type: Full-time
Industries: Business Consulting and Services