PwC

PwC

Posted via Workday

Tax - Digital Tax (Go-to-Market) Off-Cycle Internship (Jan - Jun 27)

Posted Sep 3, 2026

Role at a glance

Job function
AI & Data Data Science Machine Learning Engineering
Salary
Not Disclosed
Location
Singapore
Work arrangement
On-site
Employment
Internship
Experience
Hands-on experience with Large Language Models (LLMs), open-source frameworks, big data, machine learning, and numerical programming frameworks. Experience with building web applications, integrating APIs, SDLC (DevOps, Agile)
Education
Pursuing a degree in a quantitative discipline such as Data Science, Computer Science, Applied Statistics, Mathematics, or a related...
Visa support
Available for Work Visa Sponsorship? No

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Role Summary

AI-generated

The Digital Tax (Go-to-Market) Intern supports data- and AI-focused work on business challenges and go-to-market initiatives. The role contributes to analytics, prototypes, predictive and language models, risk solutions, and project and client-engagement support.

What You'll Do

  • Analyze data using visualization and data science techniques, communicating findings and identifying patterns and opportunities for...
  • Assist with designing and testing prototypes, collecting stakeholder feedback, and developing promising ideas into practical solutions.
  • Contribute to the development, testing, and maintenance of predictive and large language models.
  • Support data-driven risk solutions, including risk mitigation strategies and client interventions.
  • Assist with project delivery by clarifying requirements, researching approaches, documenting findings, and coordinating with stakeholders.
  • Research market opportunities; prepare proposals and presentation materials; support client discussions and engagements; and share...

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Pursuing a degree in a quantitative discipline; skills and knowledge include Python, SQL, data visualization, machine learning, deep learning, LLMs, data mining, algorithms, optimization, machine-learning libraries, MERN, web applications, API integration, SDLC, UI/UX, prototype design, Docker, Kubernetes, MLOps, Power BI, Power Automate, Copilot, Azure/Fabric, AWS, GCP, statistics, and data analysis. The posting also asks for analytical and critical thinking, communication, and collaboration skills.

Preferred

  • Ideally able to commit for one year.

Original job description

Content provided by the employer

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Intern/Trainee

Job Description & Summary

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 370,000 people in 149 countries. 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.

Our Tax Services helps businesses and individuals to achieve their tax objectives in today’s global landscape with the experience and foresight to make the best strategic decisions. As one of the largest tax practices in Singapore, we are a trusted advisor to clients and foster a collaborative relationship, powered by the latest technology and data-driven insights to make decisions in tax strategy, planning and compliance.

Achieving your tax objectives in today's global landscape requires experience and foresight. Make the best decisions to strategically move your business forward with confidence.

Key responsibilities: 

As a Digital Tax (Go-to-Market) Intern, your responsibilities will include:

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

What we're looking for: 

We welcome curious, technically minded students who are excited to build the future of tax. 

  • Pursuing a degree in a quantitative discipline such as Data Science, Computer Science, Applied Statistics, Mathematics, or a related analytical field.
  • Python, SQL, Data Visualisation, machine learning, deep learning, LLMs, data mining, algorithms, optimisations, ML libraries (Hugging Face Transformers, LangChain, LlamaIndex), MERN (MongoDB, Express.js, React, Node.js) with experience using common data science and AI libraries. 
  • Hands-on experience with Large Language Models (LLMs), open-source frameworks, big data, machine learning, and numerical programming frameworks.
  • Experience with building web applications, integrating APIs, SDLC (DevOps, Agile)
  • Knowledge of UI/UX and prototype design, containerization (Docker, Kubernetes) and MLOps tools, Microsoft applications (PowerBI, PowerAutomate, Copilot), building environments on cloud (Azure/Fabric, AWS, GCP)
  • A solid foundation in statistics, machine learning, and data analysis concepts.
  • A growth mindset and a passion for AI, data science, and problem-solving.
  • Strong analytical and critical thinking skills, with the ability to translate data into meaningful insights.
  • Clear written and verbal communication, with the ability to explain technical ideas to a non-technical audience.
  • Collaborative and proactive, with a willingness to take initiative and contribute fresh ideas.
  • Curious and adaptable, with a desire to keep learning in a fast-moving field.
  • Ideally able to commit for one year

Application notes:

  • Please indicate your first-choice role and, where applicable, a second-choice role, based on your skills, interests, and career aspirations. 
  • Only shortlisted candidates will be notified due to the high volume of applications. 
  • Kindly upload both your resume and academic transcript/degree audit in PDF format 

There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email addresses. 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Digital Tooling, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

PwC

About the company

PwC

Large Enterprise

PwC, or PricewaterhouseCoopers, is a global leader in professional services, providing a wide range of solutions in audit, tax, and advisory. With a commitment to delivering high-quality services, PwC helps organizations navigate complex business challenges and enhance their operational efficiency. The firm operates in over 157 countries, employing more than 284,000 professionals who leverage their diverse expertise to support clients across various industries. PwC is dedicated to fostering a culture of innovation, integrity, and collaboration, making it an attractive workplace for aspiring professionals seeking career development and growth opportunities.