Python Job: Data Scientist Finance

Job added on

Location

Diemen - Netherlands

Job type

Full-Time

Python Job Details

Within our finance department we are having an opportunity for a data scientist in finance.

your activities


As a data scientist in finance, you will be working on various (financial) analyses within our Finance department, focusing on value creation. You apply advanced analytics techniques and make optimal use of business intelligence. When we zoom in on your activities, it will consist of, among others:

  • analyzing financial results - by performing driver analyses, identifying trends, and creating financial models for decision-making;

  • modeling of financial forecasting;

  • you deliver actionable insights based on both financial and non-financial data, where machine learning may be applied;

  • you think about your development and follow the training and education you need to be your best self;

  • you actively engage with your stakeholders to define and scope your work. You know better than anyone how important it is to maintain your internal and external network (including management, finance, and other analytics departments but also external finance and analytics networks).


who and where will you be working with?

Our finance department comprises approximately 50 finance professionals, split into different teams. The different teams work closely together to achieve the best possible results.


As a data scientist in finance, you will be working in the Finance Analytics team. With Finance Analytics, the finance department wants to give more attention to developments in big data and advanced analytics. This vision fits seamlessly with data as a strategic pillar in Randstad's global strategy.


about you

Besides the fact that we find it very important that you are highly analytical and your completed university education is also proof of this, we would like to see several years of work experience in finance, business analysis, or data science.

Furthermore:

  • you can distinguish complex relations between numbers and activities;

  • you have an affinity with finance analytics, demonstrated for example by a degree in econometrics or business analytics, or specific work experience;

  • you have persuasive powers and strong communication skills;

  • you can use business intelligence and analytics to solve complex problems;

  • you have experience with programming (Python and SQL);

  • you have experience with BI tooling (e.g. Tableau or MicroStrategy);

  • experience with cloud services such as AWS is a strong plus;

  • experience with data analytics software such as KNIME or Alteryx is a strong plus.


The position is for 40 hours and the work location is our headquarters in Diemen.


what do we offer?

As the number one HR service provider, we offer you a working environment in which you can work together with committed and motivated colleagues to achieve the best results every day. Furthermore, we offer you:

  • a gross monthly salary between €3.800,- and €4.800,- based on full-time employment (depending on your work experience);

  • a bonus scheme with the possibility to earn an outperformance bonus twice a year and a share scheme;

  • a generous 12.3% benefit budget (consisting of 8.5% vacation allowance and 3.8% employer contribution) that you can save up and use as you see fit, for example, to purchase additional vacation days, a bicycle, tablet, sports subscription or just additional salary;

  • 25 vacation days (with the possibility to buy 26 more);

  • laptop, telephone plan and good mobility control;

  • hybrid working;

  • an opportunity to join an internal company network of (young) employees of Randstad Group Netherlands. Through various fun activities, you will be helped to build your internal network and experience great moments (e.g. winter sports, sports tournaments, and city trips).


will you be our new data scientist in finance?

Have you become enthusiastic about this vacancy and us as an employer? For more information about the position please contact Tim Bakker, manager Finance Analytics at 06 - 10 65 33 05 or [email protected]. For more information about the procedure, please contact Ernestine Pareau Dumont, Senior Talent Acquisition Specialist, at 06 - 11 34 18 63 or [email protected]