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 Telford 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 in Telford
✨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 Telford
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! Use it to express 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.
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!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 will likely 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 visualisation tools. If you've built any machine learning models, be ready to explain your approach and the results.
✨Practice Remote Collaboration
Since this role is remote, demonstrate your ability to work effectively in a virtual team. Share examples of how you've collaborated with others online, whether through coding platforms, project management tools, or communication apps.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data science projects and team dynamics. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
