At a Glance
- Tasks: Build data pipelines, run analyses, and deploy ML models for real clients.
- Company: Join Opbox, a mission-driven tech startup helping small businesses thrive.
- Benefits: Paid internship at London Living Wage, flexible hours, and potential full-time role.
- Other info: Work in a dynamic team with mentorship from experienced professionals.
- Why this job: Gain hands-on experience in data science and make a real impact on businesses.
- Qualifications: Curiosity about data science and some coding experience in Python or R.
The predicted salary is between 2510 - 2510 £ per month.
Opbox is on a mission to help small businesses to turn their scattered data into real world actions that help them to grow.
Our delivery team is growing and we're looking for a data science intern to join us.
You'll spend time working across the full spectrum of data science tasks, from data pipelines, to building data warehouses, to deploying the latest ML and AI models.
We are a small but powerful team. You'll have the chance to learn from second time founders, experienced data scientists, AI experts and software developers.
Who we're looking for
We're looking for someone who's curious about how data science works in the real world and wants to build something that matters.
You should have one or more of the following experiences
- Have studied maths, statistics, physics, engineering, computer science, or similar.
- Some Python or R experience (even just from coursework).
- Taken a statistics or data analysis module.
- Built something with code before (doesn't matter what).
- Curious about how businesses work.
About the role
You'll be working with our founding team to build data infrastructure and run analyses for real clients.
What you'll do
- Build data pipelines that handle messy client data (CSV files with weird formats, missing values, you name it).
- Write validation code that catches data quality issues before they become problems.
- Create analyses for paying customers—market analysis, customer insights, revenue forecasting.
- Work directly with client data from companies across different industries.
- Participate in client calls and see how your work influences business decisions.
What you'll learn
- How to build data systems that work in production.
- Applied statistics with real, uncooperative data.
- How data analytics can translate into business actions.
- Startup experience with fast iteration and direct customer feedback.
Tech stack
Python, Pandas, SQL, Jupyter notebooks, data validation tools, Git workflows
This isn't a typical internship where you shadow someone.
You'll have real responsibility from the start, working on multiple client projects with actual deadlines.
Your code gets reviewed, your analyses get questioned, and your ideas get implemented on merit.
If successful, this internship is designed to lead to a full-time role in the company.
FAQs
Is this a paid internship?
Yes, we will pay you the London Living Wage this is ~£2,510 per month.
Do I need to be in an office?
Yes. We have an office in Peckham. Whilst we're pretty flexible, you should plan to be in the office 3 days per week.
What are the hours like?
Roughly 9-5 UK time works well, but we're flexible as long as work gets done and you can join team meetings.
Will this lead to a full-time offer?
That's our aim. We're looking for someone who could grow with the company.
What if I don't know much about startups/business?
That's fine. You'll learn by working directly with clients and seeing how they use your analyses.
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Data Science Intern employer: Opbox
Opbox provides a unique opportunity for interns to gain practical experience in data science while contributing to meaningful projects that impact small businesses. The collaborative environment encourages learning and innovation, making it an attractive place for aspiring data scientists.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science 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 Data Science 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 Opbox 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 Opbox
✨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 Opbox.
✨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 Opbox that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
