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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Tax Off-Cycle Intern - Digital Tax, Go-to-Market

Applied Machine Learning +1Confirmed live in the last 24 hours
InternshipSingaporeNo salary listedIn-person

About the Job

Requirements

  • Pursue a degree in a quantitative discipline such as Data Science, Computer Science, Applied Statistics, Mathematics, or a related analytical field.
  • Have experience with Python, SQL, data visualisation, machine learning, deep learning, large language models, data mining, algorithms, optimisation, machine-learning libraries including Hugging Face Transformers, LangChain, and LlamaIndex, and MERN technologies including MongoDB, Express.js, React, and Node.js, with experience using common data science and AI libraries.
  • Have hands-on experience with large language models, open-source frameworks, big data, machine learning, and numerical programming frameworks.
  • Have experience building web applications, integrating APIs, and working with software development life cycle practices such as DevOps and Agile.
  • Have knowledge of user interface/user experience and prototype design, containerisation tools such as Docker and Kubernetes, MLOps tools, Microsoft applications including Power BI, Power Automate, and Copilot, and cloud environments including Azure/Fabric, AWS, and Google Cloud Platform.
  • Have a solid foundation in statistics, machine learning, and data analysis concepts.
  • Have strong analytical and critical-thinking skills and the ability to translate data into meaningful insights.
  • Communicate technical ideas clearly in writing and verbally to non-technical audiences.

Responsibilities

  • Support internal stakeholders and clients in understanding the value of data through analytics, visualisation, and clear communication of findings.
  • Assist in designing prototypes to address business challenges, gather stakeholder feedback, and support the development of promising ideas into practical solutions.
  • Use predictive modelling, statistical analysis, data mining, and other analytical techniques to collect, explore, and extract insights from data.
  • Analyse data from multiple sources to identify patterns and support new product offerings, process optimisation, and improvements to business strategies.
  • Contribute to the development, testing, and maintenance of predictive and large language models to support business outcomes, assess risk, and improve user experiences.
  • Help use data and predictive models to develop risk-mitigation strategies and client interventions while considering the overall user experience.
  • Support projects from planning through delivery by clarifying requirements, researching possible approaches, documenting findings, and coordinating with team members and stakeholders.
  • Assist in researching market opportunities, preparing proposals and presentation materials, and supporting client discussions and engagements.
  • Keep up to date with emerging AI technologies and relevant business and industry trends, and share useful insights and ideas with the team.

Desired Qualifications

  • Ideally be able to commit for one year.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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