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 in a remote setting.
- Benefits: Competitive stipend, flexible remote work, and valuable experience in data science.
- Other info: Gain hands-on experience and collaborate with cross-functional teams in a supportive environment.
- Why this job: Make an impact by applying your data skills to exciting projects.
- Qualifications: Pursuing or completed a degree in Data Science or related field with Python skills.
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 employer: Stealth Startup
Join a forward-thinking company that values innovation and collaboration, offering a unique opportunity for Data Science Interns to thrive in a remote environment aligned with UK time zones. With a strong focus on employee growth, you will gain hands-on experience working alongside seasoned professionals, contributing to impactful data-driven solutions while enjoying a supportive work culture that encourages curiosity and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Intern
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or join relevant online communities. Engaging with others can lead to valuable connections and even job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, machine learning, and data visualisation. 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 and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to make an impact in the data science world.
We think you need these skills to ace Data Science Intern
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the Data Science Intern role. We want to see how your background fits into our dynamic team, so don’t be shy about showcasing your projects and coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for data science and how you can contribute to solving real-world business problems. We love seeing enthusiasm and a solutions-oriented mindset.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, machine learning concepts, and any data visualisation tools you’ve used. We’re keen on candidates who can hit the ground running, so highlight any relevant projects or internships.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. 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 data science fundamentals, 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 communicate your findings clearly. Practice explaining complex data insights in simple terms, as this will show your ability to tell a story with data.
✨Be Ready for Technical Questions
Expect some technical questions related to SQL, data visualisation tools, and possibly even cloud platforms. Brush up on these topics and be prepared to solve problems on the spot, as this will showcase your analytical thinking and problem-solving skills.
