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Risk Services - AI Factory Data Scientist Off-Cycle Internship (Jan - Jun 27)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Risk Services - AI Factory Data Scientist Off-Cycle Internship (Jan - Jun 27)
Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Develop, use and maintain generative AI models and other data analysis techniques

  • Handle administrative tasks in risk management with stakeholders

From the employer’s posting
Develop, utilize and maintain Generative AI models and other data analysis techniques to collect, explore and extract insights from data.
Handle administrative tasks in risk management by effectively communicating and collaborating with various stakeholders.

What you’ll bring

All qualifications

Core experience

  • Degree in a quantitative field (e.g. Data Science, Computer Science, Statistics, Mathematics)
  • Proficient in Python
Qualification wording
Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.)
Proficient in Python.

About Pwc

We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in the supply chain.

In the employer’s words · Read in context

Apply at Pwc

Posting record

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Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026124 days ago
Recorded sightings
90
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 124

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Pwc is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Java
  • Python
Where the posting names them
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries {+ 23 more} Desired Languages (If blank, desired languages not specified)
- Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) - Proficient in Python. Application Notes

Your next step

Complete your application on pwc.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

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 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.

About Risk Services 

Our Risk Services Practice provides an invaluable safeguard in today’s complex operating environment with insights and independent assurance. We work with clients to deliver business control to help them to protect and strengthen every aspect of their business from people to performance, systems to strategy, business plans to business resilience. We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in the supply chain. We assess and prepare businesses by looking into their technology, finance, data analytics, regulatory requirements, data security and privacy, internal audit, and the third parties our clients rely on, to help clients deliver quality results and meet their strategic objectives.

The AI Factory is dedicated to driving AI innovation and excellence across our network. Our mission is to facilitate collaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery. 

Key Responsibilities 

As an Intern, your responsibilities include but are not limited to: 

  • Develop, utilize and maintain Generative AI models and other data analysis techniques to collect, explore and extract insights from data. 
  • Handle administrative tasks in risk management by effectively communicating and collaborating with various stakeholders. 

 

What We Are Looking For 

  • Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.)  
  • Proficient in Python.  

 

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, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries {+ 23 more}

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

Source details

View original posting ↗

Source notes

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Pay

No pay amount identified in the saved description.

Location & working pattern

Singapore - Marina One

Working pattern and location restrictions need checking in the full posting.

Work authorization
0% Available for Work Visa Sponsorship? No

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