Senior Associate, Data Scientist Gen AI, Data & Analytics, Advisory, PAN India

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.

Must Have

• Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools.
• Strong data representation and lucid presentation using Python, R Markdown.
• Hands-on exposure to Generative AI (Design, development of GenAI application in production).
• Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications.
• Strong understanding of deploying and optimizing AI application in production.
• Strong knowledge of statistical and data mining techniques.
• Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.).
• Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs.
• Experience in advanced Text Analytics (NLP, NLU, NLG).
• Understanding of LLM Ops, ML Ops for scalable ML development.
• Working knowledge on agents like PyTorch, TensorFlow.
• Proven capability in using Generative AI services like OpenAI, Google (Gemini).
• Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.).
• Understanding of fine-tuning for pre-trained models using LoRA, QLoRA and PEFT technique.
• AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts.
• Automation Testing.

Good to Have

• 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

Perks & Benefits

• Rewards for contributions
• Support for wellbeing
• Inclusive benefits
• Flexibility programmes
• Mentorship

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….

Responsibilities:

Position responsibilities and expectations

• Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools.
• Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown
• Ability to learn new scripting language or analytics platform.

Technical Skills required (must have)

• HandsOn Exposure to Generative AI (Design, development of GenAI application in production)
• Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications.
• Strong understanding of deploying and optimizing AI application in production.
• Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis.
• Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.)
• Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs.
• Experience in advanced Text Analytics (NLP, NLU, NLG).
• Understanding of LLM Ops, ML Ops for scalable ML development.
• Working knowledge on agents like PyTorch, TensorFlow
• Proven capability in using Generative AI services like OpenAI, Google (Gemini)
• Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.)
• Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique.

Mandatory skill sets:

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow

Preferred skill sets:

AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow

Years of experience required:

5-9 Years

Education qualification:

BE, B. Tech, M. Tech

Education

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

Degrees/Field of Study preferred:

Certifications

Required Skills

Automation Testing

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

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date