R & R - Data and Analytics Engineering Artificial Intelligence and Machine Learning - Associate 2

Industry/Sector

Specialism

Management Level

Job Description & Summary

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 regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
• Minimum years experience required
• 2–4 years of relevant experience in software development, machine learning, analytics, or AI solution development.
• Additional application instructions
• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related field.
• Strong Python skills and working knowledge of SQL.
• Experience building and deploying AI/ML solutions.
• Familiarity with Docker and containerized deployment workflows.
• Strong analytical, problem-solving, and stakeholder communication skills.
• Preferred Qualifications
• Experience building multi-agent or agentic workflows with LangGraph or equivalent.
• Working knowledge of vector databases (OpenSearch, Pinecone, Weaviate) including index configuration.
• Working knowledge of MCP (Model Context Protocol) frameworks for model context management and enterprise AI integration.

Cloud platform experience:

• AWS (Bedrock, Lambda, S3, OpenSearch), Azure AI, or GCP Vertex AI.
• Enterprise or consulting background — comfortable delivering across ambiguous requirements and multiple stakeholders.
• Exposure to JavaScript/TypeScript, Node.js, or modern front-end frameworks (React, Next.js).
• Experience with backend API frameworks such as FastAPI, Flask, or Express.
• Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or equivalent).
• Working knowledge of Docker and containerized deployment workflows.

Travel Requirements

Job Posting End Date