Line of ServiceAdvisoryIndustry/SectorSpecialismData, Analytics & AIManagement LevelManagerJob Description & SummaryA 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.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 vision, 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? NoGovernment Clearance Required? YesJob Posting End Date: October 12, 2024
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