At a Glance
- Tasks: Design and implement data-driven solutions to tackle real-world business challenges.
- Company: Join a dynamic, solutions-driven data science team remotely.
- Benefits: Competitive stipend, flexible remote work, and valuable learning experience.
- Other info: Opportunity for growth with potential internship extension based on performance.
- Why this job: Make an impact by applying data science in a collaborative environment.
- Qualifications: Pursuing or completed a degree in Data Science or related field.
The predicted salary is between 20000 - 30000 £ per year.
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 Cambridge employer: Stealth Startup
Join a forward-thinking company that values innovation and collaboration, offering a supportive remote work culture tailored for UK time zones. As a Data Science Intern, you'll gain hands-on experience in solving real-world business challenges while working alongside seasoned professionals who are committed to your growth and development. Enjoy competitive compensation and the opportunity to contribute to impactful projects that shape the future of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or through online communities. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing passionate candidates who are eager to join our dynamic team.
We think you need these skills to ace Data Science Intern in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Intern role. Highlight relevant skills like Python, machine learning concepts, and any experience with data visualisation tools. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to solving real-world business problems. Don’t forget to mention your ability to work in a remote, collaborative environment – that’s key for us!
Showcase Your Projects:If you've worked on any data science projects or internships, make sure to showcase them. Include links to your GitHub or any dashboards you've created. We love seeing practical applications of your skills and how you’ve tackled challenges!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Stealth Startup
✨Know Your Data Science Basics
Make sure you brush up on your foundational knowledge in data science, especially Python libraries like Pandas and NumPy. Be ready to discuss machine learning concepts like regression and classification, as these are likely to come up during the interview.
✨Showcase Your Projects
Prepare to talk about any relevant projects or internships you've completed. Highlight your experience with data cleaning, analysis, and any machine learning models you've built. This will demonstrate your practical skills and passion for data science.
✨Practice Your Communication Skills
Since you'll be collaborating with cross-functional teams, it's crucial to articulate your findings clearly. Practice explaining complex data insights in simple terms, as this will show your ability to communicate effectively in a remote setting.
✨Be Ready for Problem-Solving Questions
Expect some scenario-based questions where you'll need to demonstrate your analytical thinking and problem-solving skills. Think of examples where you've tackled real-world data challenges and be prepared to walk through your thought process.
