At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com
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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. The AI Factory drives AI innovation across our network, facilitating collaboration across PwC territories to build faster, impactful AI solutions for Deals client service delivery.
Eligibility / Qualification Required:
- Degree in a quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 3 years of relevant experience.
- Experience with LLMs, open-source frameworks, big data, machine learning and numerical programming tools.
- Proficient in Python.
- Responsibilities:
- Develop, deploy and maintain Generative AI models and data analysis techniques to collect, explore and extract insights from deal-related data.
- Support risk management processes by communicating and collaborating effectively with deal teams and key stakeholders.
- Manage end-to-end project delivery - clarifying requirements and devising analytical approaches aligned to deal objectives.
- Skills: Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning.
- Available for Work Visa Sponsorship: Yes
- Government Clearance Required: Yes
General Conditions:
How to Apply:
View Official Posting & Apply