SNG Grant Thornton is a forward-thinking firm where you’ll work with diverse clients and professionals dedicated to delivering excellence.
We are a member firm of Grant Thornton International, one of the world’s leading international organisations of independently owned and managed accounting and consulting firms.
We offer high-quality assurance, tax a...
Read more about this company
The ideal candidate for the Data Science & Tax Technology programme is a graduate with a Bachelor’s degree in Computer Science, IT, or Electrical Engineering with a strong focus on mathematics or data science. The role involves using a combination of data science and technology skills to build digital solutions that enhance tax compliance. Day-to-day tasks include working with databases using SQL, developing C# web applications, and performing data analytics with Python or R to identify trends in datasets. The candidate should be proficient in these programming languages, experienced with data visualization tools like Power BI or Tableau, and have strong analytical and problem-solving skills. A willingness to learn, collaborate, and a proactive attitude are also key attributes for success in this role, which sits at the intersection of tax, technology, and data science.
20 Initiatives to Boost Employee EngagementAre you struggling with improving employee engagement at work? This article covers everything from better communication to building a strong workplace culture.
30 Common Interview Mistakes to AvoidThis piece examines 30 of the most common mistakes applicants make at interviews, so you know how to better avoid them.