Description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
To really stand out and make us fit for the future in a constantly changing world, each and 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 a Manager, 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:
Develop new skills outside of comfort zone.
Act to resolve issues which prevent the team working effectively.
Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
Analyse complex ideas or proposals and build a range of meaningful recommendations.
Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
Address sub-standard work or work that does not meet firm's/client's expectations.
Use data and insights to inform conclusions and support decision-making.
Develop a point of view on key global trends, and how they impact clients.
Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
Simplify complex messages, highlighting and summarising key points.
Uphold the firm's code of ethics and business conduct.
Role Summary:
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.
Education
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications
(if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages
(If blank, desired languages not specified)
Travel Requirements
Up to 20%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
Yes
Job Posting End Date
August 24, 2024
