Risk Services - AI Factory (Data Scientist)

PwC Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PwC Singapore seeks a Manager-level data and analytics professional to lead AI and data engineering initiatives. The role focuses on building and optimizing generative AI models and data solutions for client outcomes, with emphasis on scalable design, performance, and governance.

You will guide teams through project lifecycles, collaborate with stakeholders, and drive innovation in AI, ML, and data analytics to transform raw data into actionable insights.

Qualifications

• Master's or Ph.D. in a quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 5 years of working experience.
• Extensive experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Proficient in Python and other relevant programming languages.
• Proven track record of managing complex projects and leading teams effectively.

Responsibilities

• Lead the development and application of Generative AI models and advanced data analysis techniques to extract actionable insights from complex datasets.
• Oversee risk management administrative tasks by effectively communicating and collaborating with various stakeholders.
• Manage and execute end-to-end projects, including clarifying requirements, devising research approaches, and ensuring timely delivery.
• Lead R&D initiatives to ensure the team remains at the forefront of AI advancements.
• Mentor junior data scientists and contribute to the growth of the team by sharing expertise and best practices.

Skills

LLMs

Open Source

Big Data

Machine Learning

Numerical Computing

Education

Master's or PhD in Quantitative field

Tools

Python

Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Manager

Job Description & Summary

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.

Responsibilities

• Lead the development and application of Generative AI models and advanced data analysis techniques to extract actionable insights from complex datasets.
• Oversee risk management administrative tasks by effectively communicating and collaborating with various stakeholders.
• Manage and execute end-to-end projects, including clarifying requirements, devising research approaches, and ensuring timely delivery.
• Lead R&D initiatives to ensure the team remains at the forefront of AI advancements.
• Mentor junior data scientists and contribute to the growth of the team by sharing expertise and best practices.

Requirements

• Master's or Ph.D. degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 5 years of working experience.
• Extensive experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Proficient in Python and other relevant programming languages.
• Proven track record of managing complex projects and leading teams effectively.

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, Coaching and Feedback, 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 {+ 30 more}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

No

Job Posting End Date