Time since we first saw it
Day 117
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Tax - Digital Tax (Data Scientist) Associate (July 2027 Intake)
- 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
- Work authorization
- Sponsors visas
What you’ll work on
Full postingDevelop, use and maintain predictive and LLM models to find business outcomes and risks
Help stakeholders and clients understand their data through analytics and visualization
Build risk mitigation strategies and interventions for clients using data and models
Manage end-to-end projects, clarifying requirements and devising research approaches
From the employer’s posting
Develop, utilise and maintain predictive/LLM models to identify targeted business outcome, measure business risk, and optimize user experiences.
Partnering with internal stakeholders and/or clients to enable them to understand the value in their data through analytics and visualization.
Use data and models to drive the development of risk mitigation strategies and interventions for clients
Manage end to end projects - clarify requirements and devise research approaches.
What you’ll bring
All qualificationsCore experience
- Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 2 - 3 years of working experiences.
- Knowledge and experience in statistical and data mining techniques.
- Experience visualising/presenting data for stakeholders
- Proficient in the use of statistical modelling, algorithms, data mining and machine learning.
Preferred experience
- Familiarity with mathematical, statistical and programmatic knowledge with LLMs will be preferred.
Qualification wording
Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 2 - 3 years of working experiences.
Knowledge and experience in statistical and data mining techniques.
Experience visualising/presenting data for stakeholders
Proficient in the use of statistical modelling, algorithms, data mining and machine learning.
Familiarity with mathematical, statistical and programmatic knowledge with LLMs will be preferred.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 117 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 9, 2026117 days ago
- Recorded sightings
- 126
- 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
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
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.
- Python
- SQL
Where the posting names them
- Proficient in the use of statistical modelling, algorithms, data mining and machine learning. - Programming experience in SQL, Python, Cloud platforms and other relevant technical skills. - Familiarity with mathematical, statistical and programmatic knowledge with LLMs will be preferred.
Your next step
Complete your application on pwc.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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
Line of Service
TaxIndustry/Sector
Not ApplicableSpecialism
Product InnovationManagement Level
AssociateJob 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:
A career in our Digital Tax Unit will provide you with the opportunity to works on Tax technology strategy and solutions. Specific responsibilities include but are not limited to:
Partnering with internal stakeholders and/or clients to enable them to understand the value in their data through analytics and visualization.
Develop predictive modeling, statistics, data mining and other data analysis techniques to collect, explore and extract insights from data.
Mine and analyse data from data sources to develop new products offering or drive optimisation and improvement of product development, marketing techniques and business strategies.
Develop, utilise and maintain predictive/LLM models to identify targeted business outcome, measure business risk, and optimize user experiences.
Use data and models to drive the development of risk mitigation strategies and interventions for clients while preserving and improving the user experience.
Manage end to end projects - clarify requirements and devise research approaches.
Stay on top of current business and industry trends.
What we are looking for:
Degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 2 - 3 years of working experiences.
Knowledge and experience in statistical and data mining techniques.
Experience visualising/presenting data for stakeholders
Adequate experience working in a data analytics role within a financial / professional services firm or in an engineering capacity.
Proficient in the use of statistical modelling, algorithms, data mining and machine learning.
Programming experience in SQL, Python, Cloud platforms and other relevant technical skills.
Familiarity with mathematical, statistical and programmatic knowledge with LLMs will be preferred.
Displaying thorough written/verbal communication skills and using presentation specialization to convey complex ideas to client & internal staff.
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
Have questions? Get in touch with us at sg_graduate_recruitment@pwc.com
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, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, 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 BeingDesired Languages (If blank, desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship?
YesGovernment Clearance Required?
NoJob Posting End Date
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
0% Available for Work Visa Sponsorship? Yes