At a Glance
- Tasks: Join a dynamic team to solve real-world business problems using data science.
- Company: Innovative client-focused company offering remote internships.
- Benefits: Competitive stipend, flexible remote work, and valuable experience.
- Other info: Gain hands-on experience with machine learning and data analysis tools.
- Why this job: Make an impact by applying your data skills in a collaborative environment.
- Qualifications: Pursuing or completed degree in Data Science or related field with Python skills.
The predicted salary is between 20000 - 30000 £ per year.
About the Role
We are hiring on behalf of our client for a highly motivated Data Science Intern to join a dynamic, solutions-driven data science team. This role is ideal for candidates who are passionate about applying data science to real-world business problems and can work effectively in a remote, collaborative environment aligned with UK time zones.
Key Responsibilities
- Assist in designing and implementing data-driven solutions to solve business problems
- Work with structured and unstructured datasets to perform data cleaning, preprocessing, and analysis
- Build and evaluate machine learning models under guidance from senior data scientists
- Conduct exploratory data analysis (EDA) and present actionable insights
- Collaborate with cross-functional teams including engineering, product, and business stakeholders
- Contribute to data pipelines, dashboards, and reporting tools
- Document workflows, methodologies, and findings clearly
Required Qualifications
- Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- Strong foundation in Python (Pandas, NumPy, Scikit-learn)
- Understanding of machine learning concepts (regression, classification, clustering)
- Experience with data visualization tools (Matplotlib, Seaborn, or similar)
- Familiarity with SQL and working with databases
- Strong analytical thinking and problem-solving skills
- Ability to work remotely in UK time zones
Preferred Qualifications
- Exposure to deep learning frameworks (TensorFlow, PyTorch)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Knowledge of real-world data science applications (e.g., recommendation systems, NLP, forecasting)
- Prior internship or project experience in data science or analytics
- Familiarity with version control systems (Git)
Key Skills
- Data Analysis & Interpretation
- Machine Learning Fundamentals
- Problem-Solving & Critical Thinking
- Communication & Storytelling with Data
- Collaboration in Remote Teams
What We’re Looking For
- A solutions-oriented mindset —someone who doesn’t just analyze data but translates it into impact
- Curiosity and willingness to learn in a fast-paced environment
- Strong ownership and accountability for assigned tasks
Location
Remote (Must be available to work in UK overlapping hours)
Duration
Internship (typically 3–6 months, with potential extension based on performance)
Compensation
Competitive stipend (based on experience and client budget)
Data Science Intern in Warrington employer: Stealth Startup
Stealth Startup is an exceptional employer that fosters a dynamic and inclusive remote work culture, perfect for aspiring data scientists. With a focus on professional growth, interns will gain invaluable hands-on experience while collaborating with experienced teams, all within the supportive framework of UK time zones. This role not only offers the chance to develop technical skills in Python and machine learning but also encourages innovation and creativity in solving real-world data challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern in Warrington
✨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 in Warrington
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 Stealth Startup 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 Stealth Startup
✨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 Stealth Startup.
✨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 Stealth Startup that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
