Tax Data Scientist — Predictive Analytics & AI

PwC Singapore; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

PwC Singapore is seeking an Associate to help clients turn data into strategic insights. The role focuses on analytics, visualization and data-driven decision making within Tax services, combining technology with business understanding.

You will partner with internal teams and clients, develop predictive models, mine data, and contribute to product innovation initiatives. A quantitative degree with 2–3 years’ experience is required, and proficiency in SQL, Python and cloud platforms is preferred.

Qualifications

• Degree in a quantitative field with 2–3 years of experience.
• Experience in statistical and data mining techniques.
• Experience visualising data for stakeholders.
• Experience in data analytics within financial/professional services or engineering.
• Proficient in statistical modelling, algorithms, data mining and ML.
• Programming in SQL, Python, cloud platforms.
• Familiarity with LLMs is preferred.
• Strong written and verbal communication for client and staff.

Responsibilities

• Partner with stakeholders to turn data into actionable insights.
• Develop predictive modeling, statistics, and data mining techniques.
• Mine and analyse data to create new products or improve strategies.
• Develop and maintain predictive/LLM models to improve outcomes.
• Use models to identify risk and improve user experiences.
• Manage end-to-end projects: clarify requirements and research approaches.
• Stay updated on business and industry trends.

Skills

Data analytics

Data visualization

Client communication

Research methods

Education

Degree in quantitative field

Tools

SQL

Python

Cloud platforms

LLMs

Job description

PwC Singapore is seeking an Associate to help clients turn data into strategic insights. The role focuses on analytics, visualization and data-driven decision making within Tax services, combining technology with business understanding.

You will partner with internal teams and clients, develop predictive models, mine data, and contribute to product innovation initiatives. A quantitative degree with 2–3 years’ experience is required, and proficiency in SQL, Python and cloud platforms is preferred.