Gen AI Data Scientist - Senior Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Gen AI Data Scientist - Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will focus on building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality.

In this role at PwC Acceleration Center India, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

Responsibilities

• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Designing and developing robust data solutions to transform raw data into actionable insights
• Conducting exploratory and descriptive analysis to solve complex business problems
• Creating data visualizations to inform strategic decisions and drive business growth
• Utilizing machine learning and artificial intelligence to enhance data-driven decision making
• Developing and maintaining data pipelines and data lakes for efficient data processing
• Applying data science algorithms and predictive modeling to anticipate client needs
• Collaborating with clients to build meaningful relationships and deliver tailored solutions
• Mentoring junior team members to foster a culture of learning and development
• Upholding professional and technical standards in all client engagements

What You Must Have

• At least a Bachelor’s degree
• At least 4 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
• Demonstrating proficiency in programming languages such as C++, R, and MATLAB
• Utilizing machine learning frameworks like TensorFlow and Scikit-Learn
• Excelling in data-driven decision making and complex data analysis
• Developing predictive models and natural language processing solutions
• Navigating ambiguity while building meaningful client relationships

• Mentoring junior team members in data science methodologies

• 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. 

• Strong programming skills in languages such as Python, R, or Scala. 

• Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. 

Travel Requirements

Not Specified

Job Posting End Date