Over de organisatie
The story behind Van Lanschot and Kempen is a fascinating one. It is a story of people with guts, energetic and intelligent people who are determined to be successful. It is a story about people who exceed expectations, take responsibility, carefully consider opportunities they identify and subsequently capitalize on them, people with an entrepreneurial spirit and an unwavering passion for their work. Candidates who fit this description can expect to be given every opportunity within our company. This is where the magic happens!
We are a specialized and independent asset management company with a strong focus on wealth retention, wealth protection and wealth creation for our clients. Our strength lies in the special, strong relationships that our reputable brands, Van Lanschot and Kempen, have with private and institutional clients. Private banking, asset management and merchant banking are the areas in which we excel and in which we differentiate ourselves by the personal attention we give our clients, as well as our expertise and experience.
The central data science team acts as a center of excellence, and closely collaborates with people across the business. The team helps give strategic direction, advise and executes complex advanced analytics projects for our various business lines. As a data scientist part of this team you’ll have the freedom to drive projects, and take the business to the next level.
At Van Lanschot Kempen, you’ll have the unique chance to work as a data scientist across the entire business and make a large impact in a short period of time. As part of our central data science team, you’ll help build up data science capabilities across the business and work on a broad spectrum of data science challenges. You will help our business stakeholders with translating their challenges into analytical problems and create data driven solutions for them. Data science at Van Lanschot Kempen is incredibly diverse; it can range from building models for fraud detection to defining customer profiles, to helping audit come up with new ways to sift through their data, to creating new data driven insights for investment teams. Opportunities to learn and work on very different types of projects are therefore plenty. You’ll also collaborate closely with data architects and engineers to help create machine learning solutions that integrate well within the workflows, and thereby help shape our data science architecture. Lastly, our business stakeholders and analysts would love to learn more about data science. You’ll help them grow, through coaching, collaboration and workshops, to understand more about data science. If this sounds like an exciting challenge, we’d love to hear from you!
We are looking for a self-driven, eager to learn, and ambitious professional with 2 to 3 years working experience in data science. You’ll have an entrepreneurial mindset: data science at Van Lanschot Kempen is at an early stage, so you’ll be pioneering and building things from scratch. Our data scientists also need to be strong communicators: you’ll spend time helping people understand the basics of data science and how to use it in their line of business.
- Master's or PhD in a quantitative field (applied mathematics, computer science, …)
- At least 2 years of applied data science experience in a business setting.
- Very good knowledge of Python or R
- Experience working with structured data in SQL
- Strong practical knowledge of core machine learning and statistical methods such as Random Forests, Gradient Boosting, time series analysis, etc.
From the minute you join us, we will challenge you to make a difference. Van Lanschot Kempen fosters a culture that encourages initiative and entrepreneurship. You will be given every opportunity from day one to make an impact in your professional field and to contribute to the future of our organization. At Van Lanschot Kempen, we value our employees and reward them by offering excellent career opportunities to those who know how to seize them. Furthermore, we offer you a generous remuneration and benefits package, including personal and professional training opportunities to develop your career.
Enthusiastic? Use the button 'apply now'. Do you have questions or do you want to have more information? Please contact our recruitment team at firstname.lastname@example.org.
Please note that your grading lists is a mandatory step in the application process. Without these documents we cannot process your application. For more information regarding the job, please contact Charlotte Faber-Werger at email@example.com.