Junior Data Scientist/ML Engineer

Your Profile

• You hold a master’s degree in AI, data science, statistics, or a related field, and have at least 1 year of industry experience building data science products. 
• You are fluent in English and Python, and you're willing to deepen your skills with tools such as Docker, Databricks, MLflow, or other MLOps systems. 
• You are eager to work on production models and have a strong interest in media or multimodal content (text, images, video) as well as open-source development practices. 
• You bring a curious, proactive, and entrepreneurial mindset. You can work independently, but also enjoy collaborating and building productive relationships with colleagues and stakeholders. 
• You are located in the Netherlands and eligible to work here. 
• Even if your past experience doesn’t align perfectly with all of the above, you’re a brave soul who feels this could be the right challenge for you and you apply all the same. 

Your Tasks

• Join ongoing or new projects, build relationships with stakeholders, and learn to identify opportunities where data science can make an impact. 
• Work with colleagues to understand problems, analyze data, and prototype machine learning approaches — with support from more experienced team members. 
• Contribute to the full lifecycle of production models: from ideation, design, and training, to deployment, monitoring, and documentation. 
• Help design and build data products at the crossroads of data science, engineering, and AI. 
• Collaborate closely with product teams, analysts, data engineers, and platform teams. 
• Share your learnings and contribute to knowledge-sharing sessions within the team. 

Your Team

We are a team of 7 data scientists and a data science manager looking to have one more colleague. We build data products that directly impact our consumers, advertisers, or employees. Our main focus is on developing human-in-the-loop solutions that empower our creative people. Additionally, we keep it flexible and contribute in multiple ways, such as producing models for forecasting, enabling personalisation, and supporting marketing with a marketing mix model. As we work on a lot of diverse challenges, a day at RTL is never the same. One day, you might work on a model to pick the most aesthetically pleasing thumbnail for Videoland. Another day, you might help with selecting what movie to show on RTL 7. A third day, you might fix a production issue for search on rtl.nl. 

The Data Science team is part of the Data Unit, where you will find people with other data-related roles, such as data engineers and data analysts. In turn, the Data Unit is part of the Tech Department. 

Our data science tech stack is focused on Python (with libraries Pandas, PyTorch, Transformers, etc.) and we are mostly on Azure. We also use PySpark. We track our code with git, package our work in Docker, deploy using Argo CD, schedule with Airflow, and track experiments with MLflow on Databricks. For video processing, we leverage Argo Workflows on Kubernetes. Most of our data comes from Snowflake or Azure Event Hub. Mongo Search Indexes power our search and much more. 

About Us

RTL started in 1989 as the first commercial broadcaster in the Netherlands. Our mission has not changed since then: we want to reach and inspire everyone in the Netherlands with essential stories that touch the heart and mind. RTL has five television channels (RTL 4, RTL 5, RTL 7, RTL 8 and RTL Z), streaming platform Videoland, three digital theme channels (RTL Lounge, RTL Crime, RTL Telekids), sales organization Ad Alliance and the platforms RTL.nl and RTL Weer / Buienradar. RTL Nieuws, Editie NL and RTL Z bring you 24/7 the latest news, their own journalistic research and interpretation via the broadcasts, website, app and socials. Our makers tell the stories that are relevant to the Netherlands. Personal, recognizable, close by and thanks to our technology and content experts you can view it where and when you want. We are always looking for new colleagues who bring a perspective that complements and makes us better. 

• Bedrijf: RTL NEDERLAND BV

Land: Netherlands

Provincie: NoordHolland

Plaats: Hilversum

Postcode: 1217WP

Job ID: 283438