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

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.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will build complex AI-integrated web applications that deliver exceptional user experiences. As a Senior Associate, you will analyze intricate problems, mentor junior team members, and maintain rigorous standards while fostering meaningful client relationships. This role offers the chance to deepen your technical knowledge and grow your personal brand in a dynamic environment.

Responsibilities

• Design and develop responsive, performant user interfaces using modern frontend frameworks (React, Angular, Vue.js), implementing reusable component libraries and ensuring design consistency.
• Optimize frontend performance through techniques like lazy loading, code splitting, caching, and efficient rendering strategies for scalable web applications.
• Build, secure, and maintain scalable REST and GraphQL APIs and backend services using Node.js, Java Spring Boot, or Python, handling business logic, data validation, and error handling.
• Develop and manage microservices architectures and design relational and NoSQL database schemas with optimized queries and migrations for production environments.
• Deploy applications on cloud platforms (AWS, Azure, GCP) leveraging Docker, Kubernetes, and CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) for continuous integration and delivery.
• Collaborate closely with product managers to translate UX designs and user stories into pixel-perfect, accessible, and consistent user interfaces across devices and browsers.

What You Must Have

• Bachelor's & Master's Degree
• 4 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Experience working with AI or Generative AI tools-based applications.
• Strong backend development skills using Node.js, Nest.js, Java Spring Boot, or Python frameworks, with solid understanding of RESTful APIs and GraphQL.
• Proficient in front-end technologies including HTML5, CSS3, JavaScript/TypeScript, and modern frameworks like React, Vue.js, or Next.js.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MySQL, or MongoDB, along with authentication and authorization mechanisms.
• Knowledgeable in version control systems, preferably Git, to manage code and collaborate effectively.