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PwC Service Delivery Center
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IN-Senior Manager_Data Scientist + Gen AI_ Data Analytics

IN-Senior Manager_Data Scientist + Gen AI_ Data Analytics

PwC Service Delivery Center

3 - 6 years

5 - 8 Lacs

bengaluru

Posted:10 hours ago| Platform:

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Skills Required

data analysis assurance automation data management process improvement analytical demand forecasting data collection business intelligence forecasting

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics AI

Management Level

Senior Manager

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 organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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

Key Responsibilities Python, TensorFlow or PyTorch, Scikitlearn, and XGBoost, computer vision and NLP, MLOPs. Design, develop, and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. Drive experimentation, evaluation, and integration of stateoftheart generative AI techniques into products and processes. Oversee model goverce, fairness, explainability, and responsible AI practices. Recommendation algorithms (collaborative filtering, contentbased filtering). Experienced with MLOps tools and cloud platforms any of GCP , Azure, Databricks, or AWS. VertexAI experience where working with model deployment, model training pipelines should be part of experience Experience with realworld ML applications in retail such as recommendation systems, demand forecasting, inventory optimization, or customer segmentation. Experience in Retail.

Mandatory skill sets

Design and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. RAG

Preferred skill sets

Gen AI Agentic AI

Years of experience required

1215

Education Details B.Tech / M.Tech / MBA / MCA

Education

Degrees/Field of Study required Bachelor of Technology, Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred

Required Skills

Generative AI

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, 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 {+ 32 more}

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IN-Senior Manager_Data Scientist + Gen AI_ Data Analytics