Data Science Intern

Amsterdam, Noord-Holland, Netherlands

Arcadis

Arcadis is the leading global design & consultancy organization for natural and built assets. We are over 29,000 people, active in more than 70 countries that generate €3.4 billion in revenues.

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What are you going to do?

As a Data Scientist Intern at Arcadis, you will play a supporting role in executing and delivering data science/machine learning-based projects together with the team. The job primarily involves assisting with reporting, responsible use of AI, generative AI, machine learning (ML) modeling, management, problem analysis, data exploration and preparation, data collection, and integration.

Your Responsibilities

As a Data Scientist Intern, your primary responsibilities are as follows:  

  • Data exploration and preparation. Clean data, apply statistical and visualization techniques, generate hypotheses, test, and create value or insights for the business. 
  • Machine learning. Apply various ML techniques to perform diverse classifications and prediction tasks. Integrate domain knowledge with ML solutions. Share the knowledge with the senior management and create value or insights for the business. 
  • Operations & Infrastructure: Collaborate with agile teams such as ML operations (MLOps), data engineers, and IT (Information Technology) departments to support state of the art solution development and deployment.
  • Communication & Reporting: Communicate findings to stakeholders, produce clear reports, and ensure project outputs align with business objectives.
  • Upskill yourself: Taking courses and collaborating with specialized teams across the globe.
  • Promote collaboration with other data science teams and the community of practice. 


What do we ask?

  • Pursuing a bachelor’s or master’s degree in computer science, data science, applied mathematics, or a related quantitative field - with an interest in ML, AI, cognitive science, or data science.
  • Basic knowledge of programming languages: Python/R and SQL.
  • Basic knowledge of cloud storage, ETL (Extract, Transform, and Loading), processing, and machine learning products, preferably in Azure.
  • Exposure to learning algorithms: neuronal networks, generative pretrained transformers, generalized linear model (GLM)/regression, classification, boosting, trees, text mining, clustering, deep learning, dimensionality reduction, graph analysis, etc.
  • Must be curious, creative, and demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
  • Should be confident, energetic self-starters, and have communication skills.
  • Should exhibit presentation skills, including storytelling and other techniques to guide and inspire.
  • Should exhibit a strong business sense/acumen and be driven to business success.

 

What do we offer?
Wherever you work, whatever you do, as an Arcadian you contribute to our mission: ‘Improving quality of life’. This mission is what connects and inspires us. We shape the future from different perspectives and build sustainable relationships. Together, we want to improve our world. With our five core values we build our Arcadian culture: People First, Integrity, Client Success, Collaboration and Sustainability. Characteristic for our culture are inclusiveness, diversity and corporate social responsibility. These subjects can be seen throughout our different activities

Arcadis offers you a whole range of interesting internships and graduation projects, which content will be determined together with you. At Arcadis, we value flexibility, which means you’re free to rearrange the workhours and work locations of your work activities as you see fit. 

You will also get to know your colleagues through participation of activities like those provided by: The Young Part, our young adult association. Many interns/graduate students grow into a junior position and they also receive benefits like monthly compensation. For more information on Arcadis, visit our website.

 

Contact information

If you have questions, please contact Ms. Femke Blom, campus recruiter, over email nlearlycareers@arcadis.com. You can apply by using the ‘Apply Now’-button on this page. You cannot apply over email. #LI-FB1 #LI-Hybrid stage afstuderen internship #internshipNL

To correctly judge your application, we would like to receive your CV and a cover letter in pdf format. Please include:

  • Reason application;
  • Maximum travel distance;
  • Availability (hours per week en desired start date);
  • Language proficiency.

Recruitment agencies do not need to respond. Details from this job offer are not to be used for marketing purposes.

 


 

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Tags: Agile Azure Classification Clustering Computer Science Deep Learning ETL Generative AI Machine Learning Mathematics MLOps Python R SQL Statistics Transformers

Perks/benefits: Career development Startup environment

Region: Europe
Country: Netherlands

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