TPA Global is an independent professional service and solutions partner that serves its clients globally through a network of Members and Alliance Partners in over 60 countries. We deliver scalable services and solutions in the areas of:
International Tax, Transfer Pricing and Valuation;
Tax Technology; and
Tax Litigation and Mediation.
With a diverse global network of over 5,000 professionals, TPA Global deals with global and complex challenges corporates face at the crossroads between Finance, Tax, and IT.
As we are continuously growing, we are looking for new team members to expand our consulting division.
As a Junior Data Scientist, you will have the opportunity to work on cutting-edge projects, apply advanced analytics, and contribute to the development of data-driven solutions. Successful applicants must have a strong foundation in data science, a thirst for knowledge, and a drive to make a difference.
We anticipate that candidates have the following personal qualities and professional qualifications:
A university degree or equivalent qualification in Data Science, Computer Science, Statistics;
From 0-2 years of relevant work experience;
Strong programming skills (e.g., Python, R) and familiarity with data manipulation libraries;
Experience with AI tools
Ability to clean, analyze, and interpret data to extract valuable insights;
Basic understanding of developing and implementing machine learning models and algorithms;
Assisting in the preparation of reports and visualizations for stakeholders;
Staying informed about the latest trends and techniques in data science;
Excellent problem-solving and communication skills;
Eagerness to learn and adapt in a dynamic and collaborative environment;
Fluency in English;
What we offer
Work at the intersection between tax, finance, and technology;
Join an international environment, with colleagues from all over the world;
Office located in Amsterdam area;
Ability to work from home 2 days a week;
25 paid holidays per year;
Base salary depending on experience;
Company-wide bonus package.
How to apply
Fill out the form below or send your motivation letter and CV to: Yvonne Chin, [email protected]