Data Scientist

PwC AC is hiring for Data scientist

Apply and get a chance to work with one of the Big4 companies #PwC AC.

Job Title: Data scientist

Years of Experience: 4+ years

Shift Timings: 2PM-11PM

Qualification: Graduate and above(Full time)

About PwC CTIO – AI Engineering

PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.

Role Overview

We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.

Key Responsibilities

• Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
• Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
• Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
• Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
• Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
• Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
• Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
• Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work.

Required Skills & Experience

• 4 to 9 years of experience in Data Science/ML/AI roles.
• Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
• Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
• Hands-on experience with Generative AI, including prompt engineering, LLM fine-tuning, and deployment.
• Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
• Strong knowledge of NLP techniques, transformer architectures, and text analysis.
• Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
• Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
• Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
• Exposure to deploying AI models via APIs and integration into larger data ecosystems.
• Strong understanding of model operationalization and lifecycle management.

Good to Have

• Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
• Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
• Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
• Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.

Soft Skills & Team Expectations

• Strong written and verbal communication; able to explain complex models to business stakeholders.
• Ability to independently document work, manage requirements, and self-drive technical discovery.
• Desire to innovate, improve, and automate existing processes and solutions.
• Active contributor to team knowledge sharing, technical forums, and innovation drives.
• Strong interpersonal skills to build relationships across cross-functional teams.
• A mindset of continuous learning and technical curiosity.

Preferred Certifications (at least two are preferred)

• Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
• Python programming certifications (e.g., PCEP/PCAP).
• Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.

Why Join PwC CTIO?

• Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
• Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
• Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
• Operate in a startup-like environment within the safety and structure of a global enterprise.
• Accelerate your career as a deep tech leader in an AI-first future.