Palantir Forward Deployed Engineer-Senior Associate

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving 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 Firms 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 Analysis team you will design and implement data pipelines and analytical workflows using Palantir Foundry, enabling clients to harness the power of their data. As a Senior Associate, you will collaborate with stakeholders to develop innovative AI applications, securing seamless integration and operational efficiency. This role presents a unique opportunity to shape the future of data-driven decision-making in a dynamic and fast-paced environment.

Responsibilities

• Design and implement data pipelines and analytical workflows
• Collaborate with stakeholders to develop innovative AI applications
• Secure seamless integration of data solutions for clients
• Enable clients to effectively utilize their data resources
• Drive operational efficiency through data-driven strategies
• Shape the future of decision-making in a dynamic environment
• Foster collaboration within the team to achieve project goals
• Maintain quality standards in deliverables
  
  

What You Must Have

• Bachelors Degree
• 4 years of experience in technical/technology roles
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Bachelors or masters degree in Computer Science, Data Science, or a related field
• Proven experience in AI and Generative AI projects
• Advanced programming in Python and data processing frameworks
• Hands-on experience with Palantir Foundry
• Proficiency in Typescript
• Experience deploying ML models in Foundry
• Familiarity with DevOps/MLOps tools
• Understanding of SQL and distributed computing
• Background in industries where Foundry is widely adopted

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