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 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, 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, ask questions, and use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences needed 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.

At Commercial Technology & Innovation (CT&I), were not just building technologywere reshaping the future of business. As the tech engine behind PwCs Advisory platforms, we embed AI, automation, and cutting-edge engineering into everything we do, delivering smarter, faster, and bolder solutions that drive real-world impact. Our mission is to power possibilitypartnering with bold thinkers to turn vision into reality and transform industries at scale. Were looking for passionate, curious, and purpose-driven engineers who want to make a difference. If youre ready to innovate with intent, drive business outcomes, and help lead the AI-enabled transformation of one of the worlds most trusted organizations, your journey starts here. The Opportunity Were seeking an innovative and versatile AI Engineer who combines strong machine learning expertise with modern application development skills. In this role, youll design and deploy AI-powered solutions that are scalable, user-friendly, and integrated within real-world applications. Youll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to deliver impactful AI products. As a Senior Associate, you will analyze complex problems, mentor others, and maintain elevated standards while navigating intricate situations to drive project success. Responsibilities Uphold exceptional standards in deliverables Work with diverse teams to improve product development Navigate complex scenarios to secure project success Maintain remarkable quality and performance in tasks Foster a culture of continuous improvement and innovation

What You Must Have Bachelor's Degree 3 years of experience

What Sets You Apart Master's Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Software Engineering, Data Processing/Analytics/Science preferred Designing and deploying machine learning models and LLMs Developing scalable, cloud-native microservices with Docker and Kubernetes Building end-to-end AI applications for web, mobile, or API-first platforms utilizing technology tools such as Python and React Managing CI/CD pipelines for AI systems using GitHub Actions and MLflow Implementing vector databases and RAG pipelines with orchestration tools Translating complex business problems into software-engineered AI solutions Fine-tuning models on domain-specific data Applying Responsible AI practices including governance and ethics

Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For those impacted by the Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, arrest or conviction records will be considered for employment in accordance with these laws. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $84,000 - $202,000, plus eligibility for an annual discretionary bonus. Actual compensation depends on skills, experience, qualifications, location, and applicable laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. View benefits at https://pwc.to/benefits-at-a-glance. #J-18808-Ljbffr