Pwc
Not Applicable
IN_SeniorAssociate_DataScientistGenAI_Data&Analytics_Advisory_Noida
Neural analysis suggests this role is
optimal for Senior candidates.
“IN_Senior Associate_Data Scientist Gen AI_Data & Analytics_Advisory_Noida at Pwc. Skills: Generative AI, Data & Analytics Engineering, Python, R, SQL, PyTorch, TensorFlow, NLP, NLU, NLG. Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools.. data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown”
What You'll Achieve.
transforming raw data into actionable insights; enabling informed decision-making; driving business growth
Industry & Context.
solvers
What They're Looking For.
Must Have
BE, B. Tech, M. Tech, Generative AI, SQL, R/Python, distributing data/computing tools/IDEs, advanced Text Analytics (NLP, NLU, NLG), LLM Ops, ML Ops for scalable ML development, PyTorch, TensorFlow, OpenAI, Google (Gemini), Agentic AI Framework (Lang Graph, Auto gen etc.), fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique, AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts
Nice to Have
AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow
What You'll Do.
Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools., data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Ability to learn new scripting language or analytics platform., HandsOn Exposure to Generative AI (Design, development of GenAI application in production), understanding of RAG, Vector Database, Lang Chain and multimodal AI applications., understanding of deploying and optimizing AI application in production., knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis., knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.
), 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.
Full Job Description
**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 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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. _*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_](https://www.pwc.in/about-us.html). 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
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