Are you an enthusiastic student with a passion for data, AI, and digital dashboards? During this graduation internship as a Data Scientist at Clappform, you will work on challenging issues surrounding digitisation. You will analyse complex datasets, develop predictive models, and discover trends and patterns that lead to valuable insights for clients and strategic decisions. In doing so, you will work closely with a highly driven team and make a direct social impact with data. Do you get energy from uncovering valuable insights in complex datasets? Then read on, as we might be looking for you!

Who are we?

Clappform is a Dutch low-code cloud platform for data analysis and process optimisation. The platform integrates, enriches, and visualises data from various sources through interactive dashboards, maps, and API integrations.

With Clappform, governments and organisations can make faster and better-informed decisions based on up-to-date and reliable information. The solution is cloud-based, secure (ISO-certified), and flexibly built according to modern architecture principles such as microservices and Common Ground.

Clappform is widely used within municipalities and provinces for issues surrounding liveability, housing construction, sustainability, and the energy transition, allowing you to make a direct social impact.

The platform consists of multiple modules that are continuously in development: from data visualisation to interactive components and tooling that our clients use themselves. Which data analysis you will focus on during your internship will be aligned with your interests and active business needs.

What will you do?

• Collect, process, and analyse large datasets using advanced analytical techniques and tools

• Develop algorithms and models to solve complex problems and generate predictive insights

• Identify trends, patterns, and insights in the data to formulate strategic recommendations for various departments

• Collaborate with internal stakeholders to understand business requirements and develop data-driven solutions

• Communicate complex analyses and results to both technical and non-technical stakeholders in a clear and comprehensible manner

Who are you?

You are an HBO or WO student specialising in AI, Data Science, Mathematics, or Computer Science, eager to gain professional experience in a technology startup and rapidly develop your skills. You already have at least 1 to 2 years of experience in quantitative analysis or data modelling and want to take this to the next level. Furthermore, you recognise yourself in the following profile:

• Strong analytical capabilities combined with a hands-on mentality

• Excellent communication and collaboration skills

• Knowledge of predictive models, machine learning, clustering and classification techniques, and algorithms

• Proficient in a programming language (Python)

• A strong command of both Dutch and English

• Available for 3-5 days per week; duration is negotiable (typically between 3-12 months)

What do we offer?

Clappform is a fast-growing, innovative company composed of enthusiastic young professionals with extensive experience in consulting, B2B marketing, and software. We offer you:

• Intensive guidance of our team throughout your entire internship

• The opportunity to learn all the ins and outs of data analysis

• Significant responsibility across a wide range of diverse tasks

• Weekly team sports sessions guided by a personal trainer (optional participation)

• Lunch provided by the office

• The opportunity to join our team on a permanent basis following your graduation internship

• Bonus: You have built a personal project outside of your studies: something designed and built out of your own interest, or a problem you successfully solved

Interested?

Send your CV and a brief motivation letter to info@clappform.com or t.griffioen@clappform.com. If you have questions or wish to discuss the role further, feel free to reach out. We look forward to hearing from you!

Want to learn more about our cloud solutions? Visit www.clappform.com.