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PwC Singapore

Digital Tax Data Scientist Associate

PwC Singapore

Singapore · 全职

抢先申请

经验
2-3岁
薪水
职位空缺
1
发布
3小时前
工作模式
在办公室
学历
Degree in Data Science, Computer Science, Applied Statistics, Mathematics, or similar quantitative field
合格
Applications are open to candidates with degrees in quantitative disciplines and relevant work experience as stated. Work visa sponsorship is available. Only shortlisted applicants will be contacted.
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职位描述

Overview

Join PwC Singapore's Tax division as a Digital Tax Data Scientist Associate in a full-time, onsite role. PwC is a global network focused on delivering trusted advisory and innovative solutions in audit, tax, deals, and consulting, powered by extensive expertise and cutting-edge technology. This position involves working within the Digital Tax Unit to harness data and technology for enhancing tax strategies, compliance, and planning.

Role Responsibilities

  • Collaborate with internal teams and clients to help them realize the value of their data through analytics and visualization techniques.
  • Apply predictive modeling, statistical methods, data mining, and other analytical approaches to explore and extract actionable insights from datasets.
  • Analyze diverse data sources to develop new product offerings or optimize existing product development, marketing, and business strategies.
  • Create and maintain predictive and large language models (LLMs) to focus on targeted business outcomes, measure risk, and improve user experiences.
  • Leverage data-driven models to design risk mitigation techniques that benefit clients while enhancing user interactions.
  • Lead end-to-end project management, including requirement clarification and development of research methodologies.
  • Keep abreast of evolving trends in business and industry to maintain relevant expertise.

Candidate Profile

  • Holds a degree in a quantitative discipline such as Data Science, Computer Science, Applied Statistics, or Mathematics with typically 2 to 3 years of relevant professional experience.
  • Demonstrates proficiency in statistical and data mining techniques and tools.
  • Experienced in data visualization and presenting insights effectively to varied stakeholders.
  • Background in data analytics roles within financial services, professional services, or engineering sectors is preferred.
  • Strong command of statistical modeling, machine learning algorithms, and data mining methodologies.
  • Technical skills include programming in SQL, Python, and experience with cloud computing platforms.
  • Knowledge or familiarity with mathematical, statistical, and programming concepts relating to large language models is advantageous.
  • Possesses excellent written and verbal communication skills tailored to explain complex concepts clearly to clients and colleagues.

Additional Information

  • Applicants should specify their preferred role and, if applicable, a second-choice role matching their skills and interests.
  • Only candidates shortlisted will be contacted due to application volume.
  • Submission of resume and academic transcript/degree audit in PDF format is required.
  • Queries regarding the role can be directed to the company's graduate recruitment email.
  • Caution is advised against fraudulent contacts impersonating company recruitment using non-official email addresses.
  • The role does not require travel and offers work visa sponsorship for eligible candidates.

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