GenAI Python Systems Engineer – Experienced Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

The Opportunity

As part of the Data and Analytics Engineering team you are expected to work with data extraction, data cleansing, and data wrangling using tools like Python and SQL. As an Associate you are expected to focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You are expected to be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by enhancing your technical knowledge of firm services and technology resources.

Responsibilities
- Work with data extraction, cleansing, and wrangling using tools like Python and SQL
- Participate in client engagement and project tasks
- Develop skills and knowledge to deliver exceptional work
- Build and maintain meaningful client relationships
- Learn to manage and inspire team members
- Expand technical knowledge of firm services and technology resources
- Contribute to the growth of your personal brand
- Adapt to changing project requirements and environments

What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 1 year of experience

What Sets You Apart
- Demonstrating knowledge in Python and data extraction
- Utilizing SQL and relational databases
- Data modeling and data mapping skills
- Experience with data integration tools
- Understanding systems development life cycles
- Building data pipelines with relational databases
- Analyzing large data sets and deriving insights
- Leveraging computer science fundamentals
- Utilizing agile development processes

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race