Stealth Startup
Data Science Intern
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Data Science Intern (Remote – UK Time Zone)
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location