Pwc
Advisory
IN-Manager_DataScience+GenAI_DataAnalytics_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Manager candidates.
“IN-Manager_ Data Science + Gen AI_ Data Analytics_ Advisory_ Bangalore at Pwc. Skills: Data Science, Gen AI, Data Analytics, Advisory, Python, PyTorch, TensorFlow, Hugging Face, LLM APIs, vector databases, RAG frameworks, LangChain, LlamaIndex. 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”
What You'll Achieve.
transforming raw data into actionable insights; enabling informed decision-making; driving business growth; drive innovation; enhance business processes; enable intelligent decision-making and automation; drive business results; drive innovation, growth, and change within their organizations; gain a competitive edge
Industry & Context.
Analytical Thinking; Complex Data Analysis; Data Analysis
Available for Work Visa Sponsorship? No, Government Clearance Required? No
What They're Looking For.
Must Have
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), Data Science
Nice to Have
Experience building chatbots, copilots, or AI assistants, Contributions to open-source AI projects or published research in AI/ML
What You'll Do.
Design and implement Gen AI applications using LLMs (e.
, 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.
How You'll Work.
Team & Collaboration
Collaborate with product, design, and engineering teams to translate business needs into AI-driven features
Communication Scope
Communication
Full Job Description
**Line of Service** Advisory **Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Manager **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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. _*__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_](https://www.pwc.in/about-us.html). 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 abo
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