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Risk Services - AI Factory (Data Scientist) - Deals Advisory

As of2026-08-15SourcePwCFirst seenMethod

PwCSingapore - Marina One

First seen 2026-08-15 on PwC's careers page.

Open so farsince PwC published it
113 days
At PwCtracked from their own careers feed
115 open AI roles
Dataacross 121 of the 174 employers we track
823 open

What PwC says about this role

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

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

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

The AI Factory drives AI innovation across our network, facilitating collaboration across PwC territories to build faster, impactful AI solutions for Deals client service delivery.

Responsibilities:

· Develop, deploy and maintain Generative AI models and data analysis techniques to collect, explore and extract insights from deal-related data.

· Support risk management processes by communicating and collaborating effectively with deal teams and key stakeholders.

· Manage end-to-end project delivery - clarifying requirements and devising analytical approaches aligned to deal objectives.

Requirements:

· Degree in a quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 3 years of relevant experience.

· Experience with LLMs, open-source frameworks, big data, machine learning and numerical programming tools.

· Proficient in Python.

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 Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

Published by PwC on their own careers feed and reproduced as supplied. See the original posting for the current version.

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