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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data‑driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
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.
Industry/Sector
Not Applicable
Specialism
Actuarial Services
Management Level
Senior Associate
Minimum years experience required
3 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 having 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.
Travel Requirements
Not Specified
Job Posting End Date
mayo 31, 2026
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