IN-Senior Manager _Data Scientist + Gen AI_ Data & Analytics_ Advisory_ Bangalore

Line Of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

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

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. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. 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. Learn more about us.

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. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: A career within…. 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, Scikit-learn, 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 state-of-the-art generative AI techniques into products and processes. · Oversee model governance, fairness, explainability, and responsible AI practices. · Recommendation algorithms (collaborative filtering, content-based 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 real-world 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:

· GCP Vertex AI

Years Of Experience Required:

11-15

Education Qualification

B.Tech / M.Tech / MBA / MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Science

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, 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, Inclusion {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date