Data & Analytics-Senior Associate at PricewaterhouseCoopers (PwC)

Reference Number: 125-NIG00173
Department: Assurance

Roles & Responsibilities

• Demonstrate leadership potential by coordinating project teams and testing their work for quality in line with PwC standards.
• Serve as team lead on D&A projects.
• Demonstrate machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting, image classification, etc.).
• Building machine learning models and systems, interpreting their output.
• Moving D&A models from development to production.
• Demonstrates abilities using Python, R;
• Ability to use data storage technologies: SQL, NoSQL,;
• Efficient use of data processing tools: R(dplyr, etc), Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow;
• Exhibit advance analytics and machine learning capabilities using libraries in R and Python, TensorFlow, Keras, PyTorch, Spark MLlib;
• Visualization: R-Shiny, Python (Matplotlib, Seaborn, bokeh, etc.), PowerBI, Qlik, Tableau;
• Machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique.
• Compliance program assessments; development of compliance risk frameworks and processes; development of compliance training materials, etc
• Work with various PwC teams to conduct business diagnostics, providing recommendations for improvement of clients’ company-wide policies/processes and implementing such initiatives.
• Conducting research and support with development of capability, proposals and training materials.
• Provide coaching to junior staff or less experienced team members to develop technical competence and administrative skills.
• Report project progress and obstacles to engagement manager/leader.
• Support in identifying new opportunities for service delivery.

Experience & Requirements

• Minimum Degree Required: Bachelor's degree Engineering, Economics, Statistics, Mathematics, Computer Science, Informatics, Operations Research, or other quantitative disciplines.
• Minimum of 3-5 years’ experience.
• Experience in industry.
• Ability to communicate clearly with colleagues and senior clients.
• A proven track record of establishing and maintaining strong relationships.
• A proactive approach to problem solving, delivering results and meeting client expectations.
• Strong Statistical and programming skills and technical depth.
• Project management skills - ability to manage across multiple and complex projects.
• Ability to multi-task simultaneous client engagements.
• Excellent written and oral communication skills (presentation & facilitation).
• Demonstrable creativity and innovation.
• Strong analytical and problem solving capabilities