Senior Associate Data Science (US Client)

Industry/Sector

Specialism

Management Level

Job Description & Summary

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 isnt 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 Firms code of conduct and independence requirements.

Minimum years experience required

• 2 Years

Minimum Educational Qualifications:

• Graduated or pursuing Software Engineering or similar IT degree (Technical University Degrees are also to be considered) in Mathematical Statistics Applied Mathematics Financial Mathematics Data Processing/Analytics/Science Actuarial Science Operations Management/Research and other related fields of Study may be considered with university degree progress equivalent to at least 3 years.

• Preferences: Data Science professionals Economists and Actuaries with a specialization in Data Science

Main tasks

• Help contribute tothe 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.

• Supportproject delivery and workwithclientsto process structured and unstructured datato improve business processes workflows and decision-making.

• Support thedocumentation and technical analysis efforts for validators auditors and regulators; clearly communicate complex concepts to non-technical stakeholders.

• Work withcross-functional teamsdata engineers architects and data scientiststo deliver efficient high-quality solutions aligned with client needs.

• Supportbusiness development efforts including the technical sales cycles and the client proposal process.

• Supportthe development of internalGenAIassets and foundational capabilities to grow the firms 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.

Travel Requirements

Job Posting End Date