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PwC Service Delivery Center
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IN_Senior Associate_ AI/ML/Data Science _Data and Analytics

IN_Senior Associate_ AI/ML/Data Science _Data and Analytics

PwC Service Delivery Center

3 - 8 years

5 - 10 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

data analysis assurance data management bfsi process improvement analytical trend analysis data collection healthcare business intelligence

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

& Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases Conduct data exploration, feature engineering, model training, tuning, and performance evaluation Collaborate with data engineers to develop robust data pipelines and integrate models into production systems Work closely with client and deliver projects in the AI/ML space Contribute to reusable assets, accelerators, and internal capability building Develop and deploy AI solutions on cloud platforms (Azure/ AWS/GCP) using MLOps and containerization

Mandatory skill sets

3+ years of experience in AI/ML engineering, with experience in working in a cloud environment Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks Handson experience with cloudnative AI services (Azure ML, AWS SageMaker, GCP Vertex AI) Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering Strong understanding of autonomous agents, orchestration, and multiagent systems Excellent communication and stakeholder management skills across geographies

Preferred skill sets

Certifications in cloud platforms and AI/ML technologies Exposure to enterprisegrade AI use cases in BFSI, healthcare, retail, or manufacturing Knowledge of Responsible AI, data governance, and compliance frameworks Exposure to Agentic AI, Gen AI

Years of experience required

3 to 12 years

Education qualification

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required Master Degree, Bachelor Degree

Degrees/Field of Study preferred

Required Skills

Data Science

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}

Travel Requirements

Available for Work Visa Sponsorship

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IN_Senior Associate_ AI/ML/Data Science _Data and Analytics