Industry/Sector
Not Applicable
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description & Summary
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.
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 Science and Machine Learning Engineering team you will architect and deliver end-to-end AI-integrated applications at scale. As a Senior Associate, you will lead teams and projects, promoting successful implementation of innovative solutions while driving performance and security across cloud-native and on-prem deployments.
Responsibilities
- Architect and implement AI-integrated applications at scale
- Lead project teams to secure successful solution delivery
- Drive performance and security across various deployments
- Mentor team members in technical and project management skills
- Collaborate with stakeholders to define project requirements
- Analyze and enhance application performance and scalability
- Embrace innovative technologies to improve project outcomes
- Uphold exemplary practices in software development and engineering
What You Must Have
- Bachelor's Degree
- 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Having strong Data Engineering skills to design and build scalable and enterprise grade data pipelines utilizing PySpark, Python, SQL, Azure and Databricks.
- Having a strong technical background and experience on Databricks platform with a strong understanding of workflows, DLT, Asset Bundles and Unity catalog etc.
- Having deep understanding of Data modeling techniques and Architectures like Delta Lake, DWH and Lakehouse architecture.
- Experience setting up CI/CD, automated testing and version control for fast and reliable deployments.
- Experience in ML techniques, RAG and Agentic frameworks like Langchain, LangGraph etc.
- Solid understanding of Distributed systems, and experience with Apache Spark framework
- Experience with Mosaic AI on Databricks is highly desirable.
- Interest and enthusiasm for transforming the way that we will be delivering work as part of the Delivery Excellence team.
Travel Requirements
Not Specified
Job Posting End Date
July 31, 2026
