Data Scientist – Senior

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks.

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:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• 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.

Minimum years experience required

• 2 Years

Minimum Educational Qualifications

• Data Science professionals, Economists, and Actuaries with a specialization in Data Science.

Main tasks

• Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS).
• Strong statistics knowledge
• Experience with programming languages and environments such as Python, R.
• Utilize machine learning models.
• Design, develop, and deploy AI models in real-world client and business environments.
• Monitor and research emerging AI trends, fostering an agile, forward-looking development environment.
• Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
• Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders.
• Work with cross-functional teams—data engineers, architects, and data scientists—to deliver efficient, high-quality solutions aligned with client needs.
• Support business development efforts, including the technical sales cycles and the client proposal process.
• Support the development of internal GenAI assets and foundational capabilities to grow the firm’s practice.

• Understand the importance of have a correct information management
• Knowledge of Information Security and Data Protection
• Correct Information Security Management

All qualified applicants will receive consideration for employment at PwC without regard to ethnicity; creed; color; religion; national origin; age; disability; neurodiversity; sexual orientation; gender identity or expression; marital; or any other status protected by law. PwC is proud to be an inclusive organization and equal opportunity employer.