AI Data Scientist

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyze the impact that new regulation will have on an insurance company's balance sheet or you could be revising business projections and making sure they have adequate reserves. 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 Senior Associate, 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: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Uphold the firm's code of ethics and business conduct. The responsibilities also include contributing to the development of GenAI solutions, applying econometric modeling techniques, utilizing machine learning models, ensuring compliance with regulatory requirements, experience with programming languages and environments, enforcing DevOps best practices, designing, developing, and deploying AI models, monitoring and researching emerging AI trends, supporting project delivery, documentation, technical analysis efforts, working with cross-functional teams, supporting business development efforts, and the development of internal GenAI assets and foundational capabilities to grow the firm's practice. Minimum Educational Qualifications: - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have: - A master's degree or PhD in a related field from a premium institute is preferred but is not required. Minimum years of Experience Requirement (Credential) - 3-4 years,