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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Deals AI Intern

Data AnalysisPosted on Nov 12
InternshipSingaporeNo salary listedIn-person

About the Job

Requirements

  • Students must be currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, Information Systems, Accountancy, Finance, Economics, Engineering, or a related discipline.
  • Candidates should have a strong interest in artificial intelligence, data analytics, Deals, financial analysis, operational improvement, or digital transformation.
  • Basic knowledge of financial statements, including the income statement, balance sheet, and cash flow statement, is advantageous.
  • Experience or coursework in data analysis, automation, machine learning, or generative AI is needed.
  • Candidates must be proficient in automation and data tools, particularly Excel VBA and Alteryx, and able to develop and maintain automated workflows and reporting processes.
  • Candidates should be familiar with Microsoft Power Platform tools, such as Power Automate, Power Apps, and Power BI.
  • Candidates should have a basic understanding of generative AI concepts, large language models, prompt development, or document-processing solutions.
  • Candidates need strong analytical and problem-solving skills to approach financial and operational challenges logically and in a structured manner.
  • Candidates must be able to work with large or complex datasets while maintaining accuracy, consistency, and attention to detail.
  • Candidates must be able to communicate analytical or technical concepts clearly to different stakeholders.
  • Candidates need strong organisational skills and the ability to manage multiple responsibilities in a fast-paced, project-based environment.
  • Candidates must be able to work independently and collaboratively within multidisciplinary teams.

Responsibilities

  • Support financial and operational analysis by analysing financial information and operational data to identify trends, performance drivers, risks, and potential improvement opportunities.
  • Apply artificial intelligence, machine learning, and data analytics techniques to Deals projects to improve the efficiency and quality of financial and operational analyses.
  • Assist in building analytical models, dashboards, and automation solutions that help project teams process information, identify patterns, and generate insights.
  • Identify opportunities to automate repetitive financial and operational activities, including data extraction, data cleansing, reconciliation, reporting, and document review.
  • Assist in developing financial models and scenario analyses to evaluate business performance, forecast potential outcomes, and assess different operational or transaction scenarios.
  • Extract, clean, consolidate, and validate financial and operational data from multiple sources to ensure accurate and reliable analyses.
  • Support the development and testing of generative AI solutions for document summarisation, information extraction, research, and preparation of project deliverables.
  • Develop dashboards, charts, and reports to communicate financial and operational findings to project teams and stakeholders.
  • Participate in testing, validation, and implementation activities to ensure AI and analytics solutions are practical, accurate, and aligned with business requirements.
  • Prepare process flows, methodology documents, technical documentation, and user guides to support knowledge sharing and continued use of developed solutions.
  • Work with Deals professionals, data specialists, and other stakeholders to understand project requirements and translate business needs into practical solutions.
  • Research emerging AI technologies and identify opportunities to enhance financial and operational analyses, processes, and ways of working.
  • Assist with ad hoc analysis, research, business development initiatives, and other project-related activities as required.

Desired Qualifications

  • Basic knowledge of financial statements, including the income statement, balance sheet, and cash flow statement.
  • Familiarity with Microsoft Power Platform tools, such as Power Automate, Power Apps, and Power BI.
  • A basic understanding of generative AI concepts, large language models, prompt development, or document-processing solutions.

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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