Associate - Digital Tax Data Scientist

About the Role

Join PwC Singapore's Digital Tax Unit as an Associate where you will leverage data science to innovate tax technology strategies and solutions. PwC is a global network delivering audit, tax, legal and consulting services with over 370,000 professionals across 149 countries.

Our Tax Services team enables businesses and individuals to achieve tax efficiency and strategic decision-making in today19s complex global tax environment. We rely on data-driven insights and cutting-edge technology to support compliance, planning, and advisory services.

Key Responsibilities

• Collaborate with internal teams and clients to uncover insights and value within their data using analytic methods and visualization tools.
• Build predictive models, employ statistical techniques, and perform data mining to extract actionable insights from diverse datasets.
• Analyze data to generate new product offerings or optimize development, marketing, and business processes.
• Create and maintain predictive and large language models (LLMs) to define targeted business outcomes, assess risks, and enhance user experiences.
• Apply data and models to formulate risk mitigation strategies aimed at preserving and improving clients19 user engagement and experience.
• Oversee end-to-end project management by clarifying requirements and designing appropriate research methodologies.
• Monitor current business and industry trends to stay informed and relevant.

Candidate Profile

• Holds a degree in a quantitative discipline such as Data Science, Computer Science, Applied Statistics, or Mathematics with 2 to 3 years of professional experience.
• Proficient in statistical analysis and data mining techniques.
• Experience in data visualization and communicating insights effectively to stakeholders.
• Prior work experience in data analytics within financial services, professional services, or engineering roles.
• Strong skills in statistical modeling, algorithm development, data mining, and machine learning.
• Practical programming expertise in SQL, Python, cloud environments, and related technologies.
• Knowledge of mathematical, statistical, and programming concepts related to large language models (LLMs) is advantageous.
• Excellent written and verbal communication skills, capable of conveying complex ideas to clients and colleagues clearly.

Additional Information

• Applicants should specify their preferred role and a backup choice reflecting their skills and career goals.
• Only shortlisted candidates will be contacted due to high application volume.
• Submission of resume and academic transcripts in PDF format is required.
• Queries can be directed to the recruitment team via email.
• Beware of fraudulent communications impersonating PwC; genuine messages only come from "@pwc.com" email addresses.