Advisory
Not Applicable
Data, Analytics \& AI
Director
- *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 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.
- Define and execute the long\-term roadmap for Agentic AI and GenAI initiatives.
- Identify and prioritize opportunities where autonomous agents and generative AI can drive business value.
- Collaborate with executive leadership to align AI strategy with overall business goals.
- *Must have** **Technology \& Research Oversight**
- Lead architecture and hands\-on development of intelligent agent frameworks (e.g., goal\-driven, tool\-using agents).
- Oversee the application of LLMs, multimodal models, and fine\-tuning strategies for domain\-specific use cases.
- Evaluate and integrate emerging GenAI/Agentic technologies (e.g., AutoGPT , LangChain , ReAct , DSPy , etc.).
- Advanced proficiency in Python.
- Extensive experience with LLM frameworks (Hugging Face , Transformers, LangChain ) and prompt engineering techniques .
Must have
- Deep understanding of ML and LLM development lifecycle, including fine\-tuning and evaluation
- Expertise in feature engineering, embedding optimization, and dimensionality reduction
- Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
- Experience with RAG systems, vector databases, semantic search implementation and Knowledge graph.
- Proficiency in LLM optimization techniques including quantization and knowledge distillation
- Understanding of MLOps practices for model deployment and monitoring
- *T** **eam Management \& Collaboration**
- Build, mentor, and scale a world\-class team of AI researchers, ML engineers, and product managers.
- Foster a strong interdisciplinary culture of innovation and experimentation.
- Collaborate cross\-functionally with data engineering, product, legal, and design teams.
- *Operational Excellence**
- Oversee data pipelines, model training, inference infrastructure, and model governance.
- Establish benchmarks and evaluation protocols for agent behavior, safety, and performance.
- Ensure ethical and responsible AI development practices are followed.
- *Good to have** **Domain/functional** **knowledge**
- Experience in financial services domain will be a plus.
- Experience in solving use cases in Asset management, Wealth management or investment banking using AI/ML.
- *Mandatory skill sets:**
GenAI/Agentic technologies (e.g., AutoGPT , LangChain , ReAct , DSPy , etc.).
- Lang Experience in industries such as finance, consulting
- Track record of publishing or contributing to open\-source AI frameworks.
- Understanding of regulatory, ethical, and societal implications of autonomous AI system
- *Years of experience required:**
14\-17
- *Education qualification:**
B.Tech / M.Tech / MBA / MCA
- *Education** *(if blank, degree and/or field of study not specified)*
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred
- *Certifications** *(if blank, certifications not specified)*
Agilent Technologies GeneSpring GX
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, 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 {\+ 50 more}
- *Desired Languages** *(If blank, desired languages not specified)*
- *Available for Work Visa Sponsorship?**
- *Government Clearance Required?**
June 26, 2026