Management Level

Manager

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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

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

Analyse and identify the linkages and interactions between the component parts of an entire system.Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.Develop skills outside your comfort zone, and encourage others to do the same.Effectively mentor others.Use the review of work as an opportunity to deepen the expertise of team members.Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

PwC has an exciting opportunity for an AI / GenAI Engineer who has extensive working experience within the Retail Banking space. This role will give the successful incumbent an opportunity to work on innovative projects while leveraging new and advanced technologies to drive transformative solutions. 

 

The successful incumbent will have a strong background in artificial intelligence and machine learning, with a focus on developing and deploying generative AI models. You will work on cutting edge projects that involve designing, building, and maintaining AI solutions to solve complex problems.

Qualifications / Certifications required:

Bachelor’s degree in computer science, Engineering, Data Science or a related field

Relevant certifications in AI/ML or related fields are highly advantageous

Experience required:

Minimum 4 years working experience in AI/ML engineering or related roles

Proven work experience in developing and deploying AI/GenAI models

Relevant working experience in Retail Banking

Strong understanding of machine learning, deep training, and generative AI techniques

Proficiency in programming languages such as Python, R, and Java

Experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, Keras)

Solid experience developing and implementing generative AI models and algorithms utilising techniques such as GPT, VAE and GANs.

Knowledge of natural language processing (NLP), computer version, and other AI application areas

Experience with data preprocessing, feature engineering, and model evaluation. 

Familiarity with cloud platforms and services (AWS, Azure, Google Cloud)

Excellent analytical and problem solving abilities

Strong communication and collaboration skills

Ability to work independently and as part of a team. 

Responsibilities of role:

Model Development:

Design, develop, and deploy advanced AI and generative AI models

Conduct research to improve existing models and create new algorithms

Data management:

Collect, preprocess, and analyse large datasets to train AI models

Ensure quality data, consistency, and integrity throughout the development process. 

Solution implementation:

Implement AI models into production systems, ensuring scalability and performance. 

Collaborate with software engineers to integrate AI solutions with existing applications.

Performance Monitoring and Optimisation:

Monitor the performance of AI models and make necessary adjustments to improve accuracy and efficiency.

Conduct experiments and A/B tests to validate model improvement. 

Collaboration and Communication:

Work closely with cross-functional teams, including data scientists, project managers, and software engineers, to deliver AI-driven solutions

Present findings, insights, and recommendations to stakeholders in a clear and concise manner.

Innovation and Research:

Stay updated with the latest advancements in AI and generative AI technologies. 

Participate in research projects and contribute to the development of innovative solutions. 

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Job Posting End Date

November 22, 2024