Deloitte
Working Student Data Science Financial Advisory
The Financial Advisory (FA) practice consists of four disciplines; Benefits & Pension Advisory, Real Estate & Partnerships, Forensic & Financial Crime and Mergers & Acquisitions (M&A).
The projects within FA are becoming more and more data driven and we are therefore expanding and improving the data science capabilities of FA.
The team is looking forward to meeting you if you want to use your technical skills in order to create data insights for the client and solve challenging client related questions. You love to solve complex puzzles and get energy from extracting insights from large arrays of (un)structured data. In addition, you are able to translate the data through advanced techniques into less complex information which allows you to tell a story to our clients.
As a Working Student Data Science you will apply advanced statistical and programming techniques to solve our clients’ questions. You will work in a multi-disciplinary team that focusses on processing big data sets and extracting insights that are relevant to clients.
Profile
In case you are enthusiastic about this, quickly check whether you meet our requirements:
- Within one year you will a quantitative oriented Bachelor or Master, for example Econometrics, Informatics, Mathematics, or Business Analytics;
- You have gained programming skills during or in addition to your education;
- You work well within a team and you have a professional attitude;
- The characteristics independent, critical and result-oriented suit you well;
- Knowledge of (some) Dutch is an advantage;
- Knowledge of finance is an advantage;
- The team will be located in Amsterdam or Rotterdam. You are willing to travel to/from these locations.
- Available at least two days per week.
Within the department there is an energetic and informal atmosphere that is designed by ambitious professionals with different backgrounds. The culture is open with short communication lines and we strive to learn from each other and also help each other in personal growth. We offer you the opportunity to follow courses, share knowledge with colleagues and continuously improve your skills. Together with you, we hope to continue the vast growth of our department and to make impact in the market.