Digital-Associate_Python null

Job Description

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost-effective, high-quality services that support process quality and delivery capability in support of client engagements.
To stand out and make us fit for the future in a constantly changing world, every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Invite and give in-the-moment feedback constructively.
• Share and collaborate effectively with others.
• Identify and make suggestions for improvements when problems and/or opportunities arise.
• Handle, manipulate and analyze data and information responsibly.
• Follow risk management and compliance procedures.
• Keep up-to-date with developments in the area of specialism.
• Communicate confidently in a clear, concise, and articulate manner - verbally and in the materials I produce.
• Build and maintain an internal and external network.
• Seek opportunities to learn about how PwC works as a global network of firms.
• Uphold the firm's code of ethics and business conduct.

Mandatory Skills:-

• Core Python development experience
• Databases - SQL and PL/SQL development using PostgreSQL
• Data analysis workflow using tools - e.g., git, iPython notebook

Good to have skills:-

• Cloud experience (Azure, AWS, or GCP) - Azure Preferred
• Data visualization tools - e.g., D3.JS, Gephi, Tableau
• Machine learning basics, Statistical analysis
• Workflow orchestration tools - Airflow
• Knowledge of Docker and Containers