Line of Service
Data, Analytics & AI
Management Level
At 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*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. 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. 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. ML Pipeline Design:

- Design ML pipelines for experiment management, model management, feature management, and model retraining.
- Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.

~ LLM Serving and GPU Architecture:

- Expertise in distributed training and serving of large language models.
- Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
- Reduce training and resource requirements for fine-tuning LLM and LVM models.





~ DevOps and LLMOps Proficiency:

- Proven expertise in DevOps and LLMOps practices.
- Knowledgeable in Kubernetes, Docker, and container orchestration.
- Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph.
- LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
- LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
- Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.
- Cloud Knowledge: AWS/Azure/GCP
- Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
- Cloud Certifications (Bonus): AWS Skilled Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert
- Proficient in Python, SQL, Javascript

Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

SQL,machine learning, data science

Years of experience required:
BE/B.Tech/MBA/MCA

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
Degrees/Field of Study preferred:
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity + 46 more
Desired Languages (If blank, desired languages not specified)

Travel Requirements
Available for Work Visa Sponsorship

📌 Data Scientist / Data Analysis Manager (Bengaluru)
🏢 PwC India
📍 Bengaluru