IN_Senior Associate_Data Scientist _D&A_Advisory_PAN India

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.

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.

Responsibilities:

• Solution Development: Design and implement AI & Gen AI powered solutions using LLMs (eg. Open AI, Claude, Gemini, Llama3). Fine-tune AI/generative AI models using Python and machine learning libraries. Leverage Agentic AI frameworks such as CrewAI, AutoGen, and orchestrate interactions across vector DBs, RAG pipelines & APIs. Should have experience in developing different ML models for Regression / Classification, Clustering, and Time Series forecasting models as well.
• Data Processing: Manage and preprocess large datasets for training AI/ML models, ensuring clean, efficient data pipelines for optimal performance.
• Model Evaluation: Evaluate and iterate on model performance, applying techniques to improve accuracy, robustness, and efficiency.
• Collaboration: Work closely with other developers, data scientists, and product managers to define AI requirements, integrate models into products, and ensure the AI system meets business needs.
• Optimization: Optimize model performance for production environments, focusing on scalability and computational efficiency.
• Thought leadership: Stay updated with the latest trends in generative AI, contributing innovative ideas and applying cutting-edge research to development efforts.

Required skills & experience:

• Experience: 5+ years of professional experience with a focus on machine learning, deep learning, and 2+ years in generative AI applications.
• Python Expertise: Advanced proficiency in Python, with solid experience using machine learning and deep learning libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, Pandas.
• Generative AI experience: Hands-on experience with tools/platforms like Open AI, LangChain, Hugging Face, Vertex AI, AWS Bedrock etc. and frameworks such as LangGraph, CrewAI, Autogen.
• Data Handling: Experience working with large datasets, including preprocessing, cleaning, and augmenting data for AI model training.
• Model Deployment: Knowledge of deploying machine learning models into production environments, including familiarity with cloud services (AWS, GCP, Azure) and containerization tools (e.g., Docker).
• ML Algorithms & Statistics: Strong understanding of machine learning algorithms, statistics, and optimization techniques used in AI.
• Version Control: Proficiency in using version control systems such as Git for managing codebase and collaboration.
• Problem Solving: Strong analytical skills with the ability to tackle complex problems and devise efficient solutions in a fast-paced environment.
• Communication: Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.
• Project experience in Python, PySpark, SQL