Risk Services - AI Factory (Data Scientist) Senior Associate

PwC Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

PwC Singapore seeks a Senior Associate to design and develop robust data solutions, transforming raw data into actionable insights for clients. You will contribute to AI/ML initiatives, optimize algorithms, and build strong client relationships while growing your technical leadership and team influence.

You will engage with diverse stakeholders, apply critical thinking, and leverage data to inform strategic decisions in a dynamic environment at PwC Singapore.

Qualifications

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. PwC guidance).

Responsibilities

• Develop and implement AI/ML solutions.
• Design and optimise algorithms, models, and systems.
• Focused on relationships, you are building client connections and delivering value.
• Grow personal brand and deepen technical expertise.

Skills

Stakeholder management

Critical thinking

Data analysis

Problem solving

C++ programming language

Tools

C++ Programming Language

Job description

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.

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Education

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

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}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes