Senior Associate, Data Science + Gen AI, Data Analytics, Advisory, Pune

PwC

4-8 Years | Pune, Maharashtra, India (On Site) | Full Time | 1 day ago

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Job Summary

At PwC, this role focuses on leveraging data and advanced analytics to drive insights and informed business decisions, helping clients optimize operations and achieve strategic goals. You will utilize advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making through data manipulation, visualization, and statistical modeling. The position involves designing and implementing Gen AI applications using LLMs and multimodal models, developing prompt engineering strategies, and building and deploying AI pipelines.

Must Have

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
Ensure compliance with ethical AI practices, data privacy, and model governance policies
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)

Good to Have

Experience building chatbots, copilots, or AI assistants
Contributions to open-source AI projects or published research in AI/ML

Perks & Benefits

inclusive benefits
flexibility programmes
mentorship

Job Description

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 Data and Analytics services will provide you with an 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:

Key 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.
Ensure compliance with ethical AI practices, data privacy, and model governance policies.

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:

4-8

Education Details

B.Tech / M.Tech / MBA / MCA

Education

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

Required Skills

Data Science

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, 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 {+ 38 more}