30+ days ago - req10904
Data Scientist - Employee Benefits Administration
In a nutshell
Eager to improve processes based on data analytics? Love to apply AI and BI technologies to improve process efficiency? As Data Scientist you are the front runner in applying data analytics in our processes.
Improve process efficiency and provide decision support through data analytics.
-Pro-actively identify (e.g. by means of data analytics/process and data mining), initiate and execute process improvements (e.g. applying Artificial Intelligence, machine learning) for the Employee Benefits Administration and Travel & Expense processes.
-Embed Business Driven Automation (e.g. AI, BI, RPA) in the EBA and T&E processes
-Support the EBA team with incident investigation and problem solving
-Generate KPI reports and perform analyses
-Generate management information / reports.
-Experience with SAP and data structure
Master degree in Data Science, Mathematics, Economics, Econometrics, Information Management or similar. Ideally followed up with relevant courses on process automation, data analytics and/or Continuous Monitoring.
-3 to max. 5 years' relevant experience in data analytics and process automation
-Experience with employee and privacy sensitive data in an international environment is a pre
-Project experience is a pre
Process and Data Mining, Business Intelligence (Spotfire), Artificial Intelligence (machine learning and deep learning), RPA, SAP ECC, SAP Workflow and Continuous Monitoring experience is preferred.
-Committed and flexible
-Excellent analytical skills
-Proactive / hands-on attitude
-Willingness to understand business processes
Context of the position
The Data Scientist is part of the Employee Benefits Administration. The Corporate Finance Organization is responsible for providing business support, performance measurement and planning, internal controls accounting and compliance, internal administrative processes, tax, and treasury.
The Employee Benefits Administration is responsible for the management of highly automated processes for European and Asian Payroll, Global Business Travel & Expenses, Time and attendance and the Global Share and Option administration. The Employee Benefits administration interacts with various internal departments (e.g. Finance, Tax, Treasury and HR&O) and external parties (e.g.salary agency, Travel agency, Expense, Time, Share and Option systems and external Accountants)
The Data Scientist reports to the Sr. Manager Employee Benefits Administration. He/she interacts with various departments and layers in and outside of finance.
ASML’s finance department drives the company, because the cyclical nature of the semiconductor industry makes long-term financial planning and strategic control critical to our business success. Like our lithography equipment, our financial strategies, methods and tools (largely SAP based) are truly world-class. ASML is regularly cited by The Hackett Group as an example of best-practice financial management. We are consistently one of the first major European companies to announce our quarterly results.
If you’re the type of person who wants the satisfaction of being in a smaller more closely knit team, then a finance job at ASML could be a life-changing experience. You’ll face demanding challenges and enjoy the freedom to put together highly creative solutions. With ASML’s financial headquarters just a short walk from its manufacturing and R&D facilities, you’ll be working extremely closely with the business and able to see your ideas put into action.