AI Engineer - Manager

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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.The OpportunityWhen you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.As part of the Data Science and Machine Learning Engineering team you will lead a cross-functional group of software engineers and data practitioners to design and deploy AI-enabled solutions. As a Manager you will mentor and inspire your team, securing technical excellence and fostering a culture of continuous learning while collaborating closely with product owners to deliver scalable, cloud-native services.

Responsibilities

• Lead a diverse team of software engineers and data specialists
• Mentor team members to promote technical excellence and growth
• Collaborate with product owners to design AI-enabled solutions
• Secure the delivery of scalable and cloud-native services
• Foster a culture of continuous learning and innovation
• Evaluate project performance and implement enhancements
• Identify and address technical challenges proactively
• Utilize data-driven insights to inform decision-making
  

What You Must Have

• Bachelor's Degree in Computer Science, Engineering, or a related STEM field
• 5 years of experience
• Oral and written proficiency in English required
  

What Sets You Apart

• Bachelor's Degree in Computer Science, Engineering, or related STEM field
• AWS/GCP/Azure Associate-level certification preferred
• Excelling in coding with Python and Java
• Hands-on experience with cloud-native architecture
• Demonstrating success in delivering AI-driven products
• Proficiency in data pipelines and MLOps platforms
• Thriving in ambiguity and rapidly learning new frameworks
• Building relationships across diverse teams