Data Scientist (entry-level)

Collaborate with our team to design, build, and deploy Agentic AI models that solve real-world business problems, from data preprocessing to model training and integration.

• Translate client requirements into actionable projects - think turning vague business needs into structured AI implementations, like predictive models or natural language processing pipelines.
• Get hands-on with data: Collect, clean, and analyze datasets using tools like Python, SQL, and machine learning libraries to uncover insights and build prototypes.
• Test and iterate on models in a fast-paced startup setting, ensuring they're robust, scalable, and ready for production.
• Present your work to clients and teammates, explaining technical concepts in simple terms to drive project success.
• Contribute to our entrepreneurial culture by spotting opportunities for innovation, sharing knowledge, and helping us push boundaries in AI.
• Occasionally join client meetings or site visits to understand their world and refine our solutions on the fly.

We keep things flexible: remote-friendly hours mean you can balance work with life, and as a startup, we're not bogged down by bureaucracy. You'll have the freedom to experiment and learn quickly.

We're looking for an entry-level Data Scientist who is either fresh out of university or has a bit of hands-on experience. You'll dive into projects that involve developing Agentic AI models, working closely with clients to translate their challenges into practical implementations. Expect a mix of technical work, creative problem-solving, and team collaboration in a supportive environment where your ideas matter from day one., We're keeping our bar realistic for entry-level talent:

• A Bachelor's or Master's degree in a relevant field like Artificial Intelligence, Computer Science, Data Science, Econometrics, Applied Mathematics, or something similar.
• Basic proficiency in programming, especially Python (and maybe R or SQL), with some exposure to machine learning concepts - think scikit-learn, TensorFlow, or PyTorch from uni projects or personal tinkering.
• A passion for data and AI, with the ability to be hands-on and proactive in a team setting.
• Strong communication skills to bridge the gap between tech and business - you should feel comfortable discussing ideas with non-technical folks.
• Fluency in English and Dutch.

No need for years of experience; if you've just graduated or have 0-2 years under your belt from internships or junior roles, that's perfect. We're more interested in your potential and entrepreneurial mindset., These would make you stand out, but they're not deal-breakers - we're a startup, so we're betting on growth:

• Some experience with NLP, predictive modeling, or Agentic AI concepts, perhaps from academic projects, bootcamps, or side gigs.
• Familiarity with tools like Jupyter Notebooks, Apache Spark, or cloud platforms (e.g., AWS, Azure, or Google Cloud) for handling data pipelines.
• A track record of turning ideas into implementations, like building a simple ML model for a hackathon or contributing to open-source.
• An understanding of ethical AI practices and data privacy (hello, AVG/GDPR), especially in client-facing work.
• That entrepreneurial spark: Maybe you've started a personal project or have experience in a startup-like environment where you wore multiple hats.

At Subduxion, we're a dynamic startup on a mission to create real value for organizations through cutting-edge technological advancements, with a strong focus on Agentic AI. We're building intelligent systems that go beyond traditional AI, empowering businesses to automate complex processes and make smarter decisions. Located at the heart of innovation on the High Tech Campus - Europe's smartest square kilometer - we're a small, entrepreneurial team that's all about collaboration, risk-taking, and authentic relationships. As a startup, we're flexible, fast-paced, and full of opportunities for you to make an immediate impact. If you're passionate about turning data into actionable AI solutions and bridging the gap between client needs and tech implementations, this is your chance to grow with us in the age of AI.