Pwc

Advisory

IN_SeniorAssociate_DataScientist,GenAI_Data&Analytics_Advisory_Bangalore

Bangalore, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior Associate candidates.

The Brief

“IN_Senior Associate_Data Scientist, Gen AI_Data & Analytics_Advisory_Bangalore at Pwc. Skills: Generative AI, Data Science, Python, R, SQL, AI chatbots, LLM Ops, ML Ops. 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; enable efficient data processing and analysis; developing and implementing data pipelines, data integration, and data transformation solutions.

Industry & Context.

Advisory
Problems you'll solve

Analytical Thinking

What They're Looking For.

Must Have

BE, B. Tech, M. Tech, SQL, R, Python

Nice to Have

PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified

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., 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.

How You'll Work.

Communication Scope

lucid presentation

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. **Job Description & Sum

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