Faculty Fellowship – Data Science – Denmark – February 2027

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Why the Faculty Fellowship? Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Faculty’s PhD-heavy team of deep AI experts has delivered hundreds of real-world AI products to improve critical public services and drive sustained economic returns across every sector of the economy. Widely recognised as a leader in AI safety, Faculty works for the world’s leading AI labs, such as OpenAI, Meta and Anthropic, to ensure their latest models are safe, human-led and explainable. The Faculty Fellowship builds the AI talent engine for the world’s most ambitious organisations. It selects exceptional scientific minds and accelerates them into the top tier of AI practitioners. Past Fellows hold some of the most critical AI posts for organisations across every sector of the economy. As part of our international expansion, we are bringing the Faculty Fellowship to Denmark through Halfspace, part of Faculty-a leading applied AI company in Copenhagen. Building on Faculty’s decade-long track record of developing exceptional AI talent and Halfspace’s expertise in delivering real-world AI solutions, the Fellowship will offer outstanding STEM talent in Denmark an opportunity to accelerate their careers in AI. As a Fellow, you will learn directly from leading AI practitioners before being embedded within an ambitious organisation, applying advanced AI and data science to solve complex commercial challenges and deliver meaningful impact. How It Works

• 2 Weeks of Intensive Training: Learn to apply your advanced technical knowledge to real-world data science problems.
• 6 Week Paid Placement: Tackle a commercial data science project with a host company.
• Demo Day Finale: Present your work to senior stakeholders and industry leaders, showcasing your technical capabilities and project impact.

Where our alumni go: our alumni have gone on to shape the future at companies like Google, Meta, Tesco and AstraZeneca, as well as disruptive startups like Physics X and Orbital Witness. We are also incredibly proud that a high percentage of fellows choose to continue their journey internally, joining the Faculty team permanently. About The Role As a Fellow at Faculty, you will join an elite cohort transforming industries through cutting-edge data science. This intensive, eight week programme bridges academic and real world impact, embedding you directly into highs-stakes commercial environments. You will apply advanced machine learning techniques to solve complex, ambiguous problems for our clients, turning theoretical knowledge into high-value deployable solutions. It is a fast-paced launchpad designed to accelerate your technical growth, build exceptional commercial acumen and employer you to shape the future of artificial intelligence in an ambitious, forward-thinking tech community. Who We're Looking For

• You hold a finished PhD or Master’s degree in a STEM subject, complemented by a strong foundation in data science or machine learning.
• You possess a high level of mathematical competence alongside solid experience with theoretical concepts like hypothesis testing, Bayesian inference, and neural networks.
• You demonstrate strong programming skills, particularly in Python, and feel comfortable navigating core data science coding libraries.
• You bring an entrepreneurial mindset, showing the resilience and autonomy needed to structure your own project plans and hit critical deadlines.
• You can communicate complex technical ideas clearly, adapting your language seamlessly for both technical peers and non-technical partners.
• You thrive in fast-paced, ambitious environments, showing curiosity and a relentless drive to learn and deploy new technologies.

Requirements

• Right to work: We’re unfortunately unable to offer visa sponsorship for this role, so you’ll need to already have the right to work in Denmark. This includes citizens of EU/EEA countries and Switzerland, as well as anyone holding a valid Danish work permit or residence status. If your eligibility is based on a visa or permit, please include the details in your application so we can review your situation.
• Location & Logistics: This is a fully in-person, eight-week programme based in Copenhagen, Denmark so you will need to be able to commute daily for the entire duration. Please keep in mind that Faculty is unable to provide or reimburse accommodation and travel expenses.

Our Timelines

• December 2026: Coding tests sent via email.
• December/January 2026: Interviewing starts - held remotely online.
• January 2027: Final notifications sent to all applicants.
• February 2027*: Programme starts.
• Please note that programme dates are tentative and may be adjusted if required. We will notify all applicants of any updates and changes as early as possible.

What the Fellowship offers

• Paid Experience: Fellows receive a competitive stipend/salary for the full eight-week duration of the programme.
• Expert-Led Training: Two weeks of immersive lectures followed by weekly Friday masterclasses, bridging the gap between academic theory and commercial data science.Dedicated Mentorship: Receive ongoing support and guidance from experienced Faculty practitioners, gaining insight into how AI and data science are applied to solve real-world business challenges while developing your technical, commercial and communication skills.
• Real-World Value: A dedicated six-week placement embedded with a business, tackling a high-stakes data science challenge.
• Career Launchpad: A proven pathway into industry, backed by a decade-long track record of launching exceptional individuals into top-tier AI careers.
• Unrivalled Networking: Connect with a 500+ strong alumni community and pitch your project to 100+ industry guests at Demo Day.

Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.