PwC logo

Manager – Data Scientist, Advisory

PwC
NewPosted today

LOCATION

Bengaluru Millenia · Onsite

EXPERIENCE

3+ Years

TYPE

FullTime

SKILLS REQUIRED

Machine LearningPythonDistributed TrainingDockerLarge Language ModelsKubernetesModel Fine-Tuning

Job description

Overview

Manager, Data Scientist in PwC's Advisory Data, Analytics & AI specialism, focused on using advanced analytical techniques to extract insights from large datasets and support data-driven decision-making for clients.

What you'll do

  • Design ML pipelines for experiment management, model management, feature management, and model retraining.
  • Design APIs for model inferencing at scale.
  • Serve distributed training of large language models; apply model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
  • Fine-tune and optimise models to achieve better latencies and accuracies, and reduce training and resource requirements for fine-tuning LLM and LVM models.
  • Practise DevOps and LLMOps, including Kubernetes, Docker, and container orchestration.
  • Use LLM orchestration frameworks such as Flowise, Langflow, and Langgraph.
  • Leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

What you'll need

  • Bachelor of Engineering/B.Tech or Master of Engineering, or MBA or MCA as the education qualification.
  • 3+ years of experience required.
  • Mandatory: Gen AI, LLM, Hugging Face, Python, PyTorch/TensorFlow/Keras, LangChain, LangGraph, Docker, Kubernetes.
  • Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
  • Deep knowledge of GPU architectures.
  • Expertise in distributed training and serving of large language models.
  • Proficiency in model and data parallel training using DeepSpeed and vLLM.
  • Proven expertise in model fine-tuning and optimisation techniques.
  • Proven expertise in DevOps and LLMOps practices.
  • Knowledge of Kubernetes, Docker, and container orchestration.
  • Deep understanding of LLM orchestration frameworks such as Flowise, Langflow, and Langgraph.
  • Proficient in Python, SQL, and JavaScript.

Nice to have

  • Preferred skill sets: SQL, machine learning, data science.
  • Cloud certifications (bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert.

Details

  • Location: Bengaluru Millenia.
  • Visa sponsorship: No.
  • Government clearance required: No.
  • Job posting end date: August 20, 2026.

Read the full description and apply on the company’s own careers page.

Stay safe

Hiring on Abekus is free for applicants

We never charge a fee, and employers are prohibited from doing so. If a recruiter asks for payment, please report them right away.

Manager – Data Scientist, Advisory