IN-Senior Associate – Data Scientist-Data and Analytics – Advisory – Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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. "

Responsibilities

Data Scientist Exp : 4—7 Years Location: Mumbai Key Responsibilities:

• Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery.
• Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives.
• Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables.
• Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning.
• Ensure compliance with data governance standards and ethical AI practices in all implementations.
• Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. Qualifications:
• Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.
• Strong background in AI/ML, NLP, and Generative AI models, including SLMs,LLMs like GPT and BERT.
• Extensive experience managing AI projects and leading teams in developing AI-based solutions.
• Deep understanding and hands-on experience with generative algorithms, particularly models (e.g., GPT, VAE, GANs, LLMs), and libraries like TensorFlow, PyTorch, and Keras.
• Cloud Computing: Experience with platforms like Azure, Google Cloud, or AWS.
• Familiarity with tools for model deployment and monitoring.
• Proven track record of delivering high-impact AI projects in a consultancy environment.
• Strong business acumen, with the ability to translate complex algorithms into actionable business strategies.
• Outstanding leadership and interpersonal skills, adept at fostering collaboration across diverse teams. Preferred:
• Programming: Python, pyspark, SQL, R, and other relevant languages.
• Min Exp - 7-8+ years
  
  
  

Mandatory Skill Sets

Data Science/AI/ML

Preferred Skill Sets

Data Science/AI/ML

Years Of Experience Required

4—7 years

Education Qualification

B.E.(B.Tech)/M.E/M.Tech

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

Degrees/Field of Study required: Master of Engineering, Bachelor of Technology

Degrees/Field Of Study Preferred

Certifications (if blank, certifications not specified)

Required Skills

ETL Tools

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, 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}

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