Senior Associate Data And Analytics Engineering

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 visualizations 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.

As part of the Data and Analytics Engineering team you will develop, implement, and enhance machine learning models and algorithms for various applications. As a Senior Associate you will analyze complex problems, mentor others, and maintain rigorous standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to deepen your technical knowledge and grow your personal brand while collaborating with stakeholders to create innovative solutions.

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
• Demonstrating hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms
• Possessing hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc.

Travel Requirements: Up to 60%