Role Overview:As a Senior Associate Data Scientist at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Specifically, in data engineering at PwC, you will be responsible for designing and building data infrastructure and systems to enable efficient data processing and analysis.Key Responsibilities:- Designing and building analytical algorithms using Python, R, and other statistical tools- Solid data representation and lucid presentation of analysis/modelling output using Python, R Markdown- Ability to learn new scripting languages or analytics platforms- Hands-on exposure to Generative AI for designing and developing GenAI applications in production- Strong understanding of RAG, Vector Database, Lang Chain, and multimodal AI applications- Deploying and optimizing AI applications in production- Knowledge of statistical and data mining techniques such as 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 of 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 include AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlowQualifications Required:- Education qualification: BE, B. Tech, M. Tech- Years of experience required: 3 - 10 Years- Degrees/Field of Study required: Bachelor of Engineering, Bachelor of TechnologyAdditional Company Details:At PwC, you will be part of a vibrant community that leads with trust, creates distinctive outcomes for clients, and values diversity and inclusion. The organization provides equal employment opportunities and fosters an environment where individuals can bring their true selves to work and contribute to personal and firm growth. PwC offers inclusive benefits, flexibility programs, and mentorship opportunities to support your wellbeing and professional development. Role Overview:As a Senior Associate Data Scientist at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Specifically, in data engineering at PwC, you will be responsible for designing and building data infrastructure and systems to enable efficient data processing and analysis.Key Responsibilities:- Designing and building analytical 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 languages or analytics platforms- Hands-on exposure to Generative AI for designing and developing GenAI applications in production- Strong understanding of RAG, Vector Database, Lang Chain, and multimodal AI applications- Deploying and optimizing AI applications in production- Knowledge of statistical and data mining techniques such as 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.)- Solid 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 of 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 include AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlowQualifications Required:- Education qualification: BE, B. Tech, M. Tech- Years of experience required: 3 - 10 Years- Degrees/Field of Study required: Bachelor of Engineering, Bachelor of TechnologyAdditional Company Details:At PwC, you will be part of a vibrant community that leads with trust, creates distinctive outcomes for cli

📌 Senior Associate - Data Scientist (Generative AI & Data Analytics) (India)
🏢 PriceWaterhouseCoopers( PWC
📍 India