Quantum Computing - Sr Associate

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.

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 explore emerging technologies and develop innovative solutions that drive productivity and worth. As a Senior Associate, you will mentor junior team members, contribute to research publications, and rapidly test hypotheses to solve complex problems in the realm of quantum computing and AI.

Responsibilities

• Explore and implement emerging technologies for innovative solutions
• Mentor junior team members in research and development
• Contribute to research publications in quantum computing and AI
• Rapidly test hypotheses to address complex challenges
• Collaborate with interdisciplinary teams to drive project outcomes
• Analyze data and findings to inform future projects
• Stay abreast of advancements in technology and methodologies
• Foster a collaborative environment for knowledge sharing
  
  

What You Must Have

• Bachelor's Degree
• 4 years of experience in quantum algorithms, cryptography, or quantum computing
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Graduate, Postgraduate, or PhD in Computer Science, Engineering, Physics, Mathematics, or a related technical field preferred
• Experience in quantum algorithms, cryptography, or quantum computing
• Proficiency with open-source frameworks like PyTorch, TensorFlow, and Keras
• Publishing in reputed international journals on quantum algorithms
• Learning new technologies rapidly and evaluating their impact
• Understanding of linear algebra and advanced quantum computing concepts
• Hands-on experience with IBM Qiskit and D-Wave’s tools
• Applying machine learning techniques with TensorFlow and Keras
• Prior research publications in leading journals