At a Glance
- Tasks: Build systems to extract insights from diverse content and evaluate AI performance.
- Company: Join Unbox Commerce, a fast-growing startup revolutionising social commerce.
- Benefits: Competitive pay, real ownership of projects, and exposure to major brands.
- Other info: Collaborative team culture with opportunities for rapid career growth.
- Why this job: Make a real impact in a dynamic environment while working with innovative technology.
- Qualifications: Pursuing a degree in a quantitative field with strong programming skills in Python.
The predicted salary is between 20000 - 30000 £ per year.
Unbox Commerce is building the operating system for social commerce. We help the world's most brand-sensitive companies scale creator-led commerce on platforms like TikTok Shop. Our platform turns social video into brand-specific intelligence, enabling faster, more confident decisions around which creators to work with, what content to scale, and where to allocate spend. We sit at the intersection of technology, data, and commerce in one of the fastest-growing channels in retail. Social commerce is on track to become a top-3 global retail channel - and Unbox is building the infrastructure to power it. We're a tight-knit, ambitious team based in London, working with some of the world's largest brands and agencies. This is an early-stage company, which means real ownership, real impact, and a front-row seat to how a startup scales.
The Opportunity
- Timeline: July - September 2026 (minimum 8 weeks, full-time)
- Location: London (Goswell Road, EC1) with flexibility
- Compensation: Paid (competitive)
What You'll Work On
- Building systems that extract insights from multimodal content (video, audio, text, and image).
- Uncovering what drives content performance, which creator, audience, and content characteristics matter most.
- Detecting brand-safety, compliance, and infringement risks across creator content with moderation systems you'll help design and evaluate.
- Benchmarking AI systems, and human decision-makers against each other on real business tasks, and building the evaluation frameworks, to measure quality, reliability, and efficiency.
- Shipping research findings into production features alongside our product and engineering teams.
Who We're Looking For
- Currently pursuing a Bachelor or Master in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related quantitative field.
- Strong programming skills, particularly in Python.
- Using LLMs to accelerate experimentation and development.
- Comfortable working with data, experimentation, and analytical problem-solving.
- Curious about how intelligent systems can be used to improve real-world business decisions.
- Comfortable operating in a fast-moving environment with ambiguous problems and evolving requirements.
- Genuine interest in technology, social commerce, or the creator economy.
- Entrepreneurial instinct, you spot what needs doing and get on with it.
Why Unbox?
- Work directly with the founders and leadership team on high-priority commercial challenges.
- Real ownership, your work will ship, not sit in a slide deck.
- Experience the pace and culture of a fast-growing, venture-backed startup.
- Exposure to a network of major enterprise clients and operators in the social commerce space.
- London-based with a collaborative, low-ego team culture.
How to Apply
Submit your CV and a short note on what you'd want to work on via this Notion Form (https://unbox-social.notion.site/bacaae21e08b82e593c881e92d831b31). We review applications on a rolling basis: If you're the right fit, expect to hear from us fast. Unbox Commerce is an equal opportunity employer. We welcome applicants from all backgrounds.
Applied Sciences Intern employer: Unbox
Unbox Commerce is an exceptional employer for those seeking to make a tangible impact in the fast-evolving world of social commerce. Based in London, our collaborative and low-ego team culture fosters innovation and personal growth, allowing interns to work directly with founders on high-priority projects that drive real results. With competitive compensation and the opportunity to engage with major brands, you'll gain invaluable experience in a dynamic startup environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Sciences Intern
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Applied Sciences Intern
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Unbox will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Unbox
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Unbox.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Unbox that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
