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Digital Tax Data Scientist Associate – July 2027 Intake

pwc · Singapore

Mid 🇬🇧 English
SQL Python Cloud platforms Statistical modelling Machine learning Data mining LLMs

Job description

About the role

PwC’s Digital Tax unit is seeking a Data Scientist Associate to join the July 2027 intake. You will help clients unlock the value of tax data through analytics, predictive modeling and emerging AI technologies.

Key responsibilities

  • Partner with internal stakeholders and clients to translate data into actionable insights using analytics and visualisation.
  • Develop predictive models, statistical and data‑mining techniques to explore and extract insights from large tax datasets.
  • Analyse data to create new product offerings and optimise existing tax‑related products, marketing and business strategies.
  • Build, maintain and apply predictive and large‑language‑model (LLM) solutions to drive business outcomes, assess risk and enhance user experiences.
  • Use data‑driven approaches to design risk‑mitigation strategies for clients while improving user experience.
  • Lead end‑to‑end projects, clarifying requirements and defining research methodologies.
  • Stay informed on current business and industry trends.

Required profile

  • Degree in a quantitative discipline (e.g., Data Science, Computer Science, Applied Statistics, Mathematics) with 2‑3 years of relevant experience.
  • Proven knowledge of statistical and data‑mining techniques.
  • Experience presenting visualised data to stakeholders.
  • Background in data analytics within a financial or professional‑services environment or an engineering role.
  • Proficiency in statistical modelling, algorithms, machine learning and LLM concepts.

Required skills

  • SQL
  • Python
  • Cloud platforms (e.g., AWS, Azure, GCP)
  • Statistical modelling
  • Machine learning
  • Data mining
  • Large language models (LLMs)

Questions fréquentes

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Source : ats:workday

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Published 1 month ago

Expires 3 weeks from now

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pwc

Singapore