Senior Associate Data Scientist

Job Description & SummaryAt 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.

WhyPWCAtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn moreabout us.AtPwC, 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.

Responsibilities: We areseeking a highly skilled and motivated Manager with expertise in artificial intelligence and machine learning. This is a full-time, hybrid position that offers an opportunity to work with cutting-edgetechnologies and contribute to innovative projects in the AI/ML domain.

• Lead and manage projects centered around AI and ML applications.
• Work on large language models (LLMs) such as OpenAI, Gemini, and Anthropic.
• Implement retrieval-augmented generation (RAG) strategies, including embedding and chunking techniques.
• Develop and optimize chatbots and conversational agents.
• Leverage frameworks like LangFlow and LangChain for AI applications.
• Utilize coding tools (e.g., Cursor, v0, Claude Code, VS Code + Copilot, Codex) to enhance development processes.
• Perform specialized or small language model training and fine-tuning.
• Collaborate with cross-functional teams to deliver high-quality solutions.

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 : 8 - 13 Years
• Education qualification: BE, B. Tech, M. Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Data Analysis

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 Development, 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)