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.