ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate
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ERCS Data & Tech - Risk & Compliance AI Engineer - Senior Associate
role at
PwC
Specialty/Competency:
Data, Analytics & AI
Industry/Sector:
Not Applicable
Time Type:
Full time
Travel Requirements:
Up to 60%
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.
Skills
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.
Responsibilities
Mentor junior team members to enhance their skills and knowledge
Build and maintain productive relationships with clients
Navigate intricate situations to deliver quality results
Uphold professional standards and maintain quality in deliverables
Continuously enhance technical knowledge and personal brand
What You Must Have
Bachelor's Degree
3 years of machine learning and generative AI development experience
What Sets You Apart
Doctor of Philosophy in Computer Science, Data Processing/Analytics/Science, Business Administration/Management, Risk Management, Statistics, Mathematical Statistics preferred
Developing and optimizing machine learning models and algorithms
Designing and building generative AI models for innovative solutions
Working with stakeholders to translate business requirements
Processing, cleaning, and verifying data integrity
Conducting testing and validation of models for accuracy
Staying current with advancements in machine learning and AI
Mentoring junior team members in data science practices
Experience connecting to APIs and systems
Hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms
Hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc.
The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the benefits page.