IN-Senior Associate _ Data Science + Gen AI_ D&A_ Advisory_ Hyderabad
PwC
Job Summary
At PwC, this role focuses on leveraging data and analytics to drive insights and make informed business decisions, utilizing advanced analytics techniques to help clients optimize operations and achieve strategic goals. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. A career in Data and Analytics services helps organizations uncover enterprise insights and drive business results using smarter data analytics, focusing on business intelligence, data management, and data assurance to drive innovation, growth, and change.
Must Have
- 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
- reward your contributions
- support your wellbeing
- inclusive benefits
- flexibility programmes
- mentorship
Job Description
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 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*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 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.).
- Collaborate with product, design, and engineering teams to translate business needs into AI-driven features.
- 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:**
3-7
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 Business Administration
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data science and analytics
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date