Magnet is a pioneering platform transforming how SMEs manage their digital tool subscriptions. As businesses adopt an increasing number of SaaS tools, subscription management has become complex and costly. Magnet simplifies this by automating subscription tracking, providing real-time insights into spend, and highlighting saving opportunities. Our mission is to empower businesses to focus on what truly matters by eliminating the tedious tasks of managing digital tool subscriptions.
We’re early-stage, backed by Antler and the Danish Export and Investment Fund (EIFO), and on a journey to build a product that not only simplifies subscription management but also sets new standards for data security and transparency.
This is your chance to join an ambitious startup where you’ll help shape both the product and the company from the ground up!
We’re looking for a Data Scientist Intern who’s eager to dive into machine learning, large language models (LLMs), and data engineering in a fast-moving SaaS startup. You’ll work directly with our experienced CTO and founding team, contributing to cutting-edge projects while gaining hands-on experience with real-world data challenges.
This is a unique opportunity to make a real impact while learning the ropes of applied data science in a startup environment.
Machine learning development: Assist in building, refining, and deploying LLMs and machine learning models for tasks such as automation, data classification, NLP, and matching.
Data pipeline engineering: Help design and maintain scalable data pipelines for processing data from email and bank connections.
Data analysis & visualization: Contribute to creating data models, interpreting results, and visualizing insights for both internal use and customer reporting.
Collaboration: Work closely with the product and engineering teams, participating in brainstorming sessions, product feedback, and data-driven decision-making.
Innovation & research: Stay updated on emerging data science techniques, exploring how they can be applied to enhance our platform.
Product contribution & ownership: Take an active role in shaping what our product will be capable of and how it will evolve. Contribute ideas and insights for new features, ensuring the data science capabilities align with our business goals and customer needs.
Compliance & data security: Support the team in ensuring GDPR compliance and high data security standards.
Currently pursuing or recently completed a degree in Data Science, Economics, Statistics, Computer Science, or a related field.
Strong proficiency in Python and experience with data science libraries such as Pandas, Scikit-learn, FastAPI, TensorFlow, or similar.
Familiarity with cloud environments (e.g., AWS, Google Cloud).
Familiarity with building and applying large language models (LLMs) for tasks such as natural language processing, classification, or data extraction.
Interest in working with real-world datasets, including financial and business data.
Eagerness to learn, contribute, and collaborate in a fast-paced startup environment.
Curiosity, problem-solving mindset, and a passion for continuous learning.
Hands-on experience: Work on real data science challenges in a SaaS startup.
Mentorship: Learn directly from experienced software engineers and startup founders.
Skill development: Gain practical experience in LLMs, machine learning, and data pipelines.
Flexibility: Fully remote position with a flexible work schedule.
Growth potential: Potential for a long-term role at Magnet post-internship.
We believe in a collaborative, transparent, and learning-driven culture. As an intern, you’ll be treated as a core part of the team, with the freedom to explore, experiment, and grow alongside us. We value open communication, proactive problem-solving, and shared successes.
At Magnet, we’re not just another SaaS platform—we’re on a mission to simplify how businesses manage their digital tools. Our culture values collaboration, curiosity, and transparency. You’ll be working in a startup environment where every contribution matters, and your ideas will help shape the future of our product, company, and the business world.
We look forward to hearing from you! 🚀
This job comes with several perks and benefits