At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
The OpportunityWhen 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 Business Application Consulting team you will design, develop, and integrate innovative LLM-based solutions. As an Associate you will engage in hands-on application development, support senior team members, and contribute to the creation of impactful AI applications that drive business transformation.
Responsibilities
- Design and implement innovative solutions utilizing LLM technology
- Engage in practical application development and support senior team members
- Contribute to the development of AI applications that facilitate business change
- Collaborate with team members to enhance project outcomes
- Analyze client needs to inform solution design and execution
- Participate in project meetings to share insights and progress
- Uphold rigorous standards of quality in deliverables
- Foster a culture of continuous learning and improvement
What You Must Have
- Bachelor's Degree
- 2 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Proficiency in Python and AI frameworks
- Familiarity with LLM APIs and NLP fundamentals
- Understanding of prompt engineering and context optimization
- Exposure to RAG architecture and pipeline development
- Interest in learning fine-tuning and LLMOps practices
- Collaborative mindset with openness to mentorship
- Experience contributing to chatbot or content generation applications
- Familiarity with cloud-based AI platforms