PwC
Website:
pwc.com
Job details:
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.
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 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 develop and implement machine learning models that drive impactful GenAI projects. As a Associate 2, you will collaborate with cross-functional teams to identify impactful opportunities, leveraging your knowledge to create innovative solutions that enhance operational capabilities and deliver strategic worth.
Responsibilities
- Develop and implement machine learning models for GenAI projects
- Collaborate with cross-functional teams to identify key opportunities
- Leverage knowledge to create innovative solutions for operational enhancement
- Analyze data to inform model development and performance
- Mentor junior team members in machine learning techniques
- Align projects with strategic business goals
- Monitor project progress and adjust strategies as needed
- Communicate findings and insights to stakeholders effectively
What You Must Have
- Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, or a related field
- 2+ years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Experience developing and deploying machine learning applications
- Understanding data privacy and compliance regulations
- Hands-on experience with fine-tuning and quantization of LLMs & RAG
- Proven experience in chatbot design and development
- Practical knowledge of ML/DL frameworks such as TensorFlow, PyTorch, and scikit-learn
- Skilled in object-oriented programming with languages such as Java, C++, or C#
- Relevant certifications in GenAI tools and technologies preferred
- Experience in implementing Model Context Protocol (MCP) preferred
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