Confidential
Data Science Intern

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About the Company
We are hiring on behalf of one of our clients for the role of Data Science Intern. This remote internship opportunity is ideal for students and recent graduates who are interested in data science, machine learning, and analytics and want to gain practical exposure by working on real-world data projects. Selected candidates will have the opportunity to collaborate with experienced professionals, enhance their technical capabilities, and gain hands-on experience with industry-relevant tools, techniques, and workflows.
About the Role
As a Data Science Intern, you will contribute to data-focused projects by supporting data collection, preprocessing, analysis, visualization, and machine learning activities. This internship will help you apply your academic knowledge to practical business problems while developing essential skills required for a career in data science.
Responsibilities
- Collect, clean, transform, and prepare datasets for analysis.
- Perform exploratory data analysis to identify patterns, trends, and meaningful insights.
- Assist in building, testing, and improving machine learning models.
- Analyze data to support project goals and business requirements.
- Develop reports, visualizations, and dashboards to present analytical findings.
- Work with Python-based data science libraries including Pandas, NumPy, Scikit-learn, and Matplotlib.
- Collaborate with team members to complete assigned tasks and project deliverables.
- Maintain documentation of analysis processes, models, results, and recommendations.
- Participate in team meetings, discussions, and project reviews.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt 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.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
Qualifications
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline.
- Basic knowledge of Python programming and data analysis.
- Understanding of statistical concepts, probability, and analytical techniques.
- Familiarity with SQL and database fundamentals.
- Basic understanding of machine learning algorithms and concepts.
- Strong analytical thinking and problem-solving abilities.
- Good communication skills with the ability to collaborate effectively.
- Ability to work independently in a remote work environment.
Required Skills
- Experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or similar frameworks.
- Knowledge of visualization tools such as Power BI, Tableau, or equivalent platforms.
- Basic understanding of Git and version control practices.
- Interest in artificial intelligence, predictive modeling, automation, and data-driven solutions.


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Preferred Skills
- Students currently pursuing undergraduate or postgraduate programs.
- Recent graduates looking to gain practical experience in Data Science.
- Candidates with basic knowledge of data analysis and machine learning concepts.
- Individuals who are proactive, willing to learn, and comfortable working in a collaborative remote environment.
Pay range and compensation package
- Internship completion certificate upon successful completion.
- Flexible remote working opportunity.
- Practical exposure to real-world data science projects.
- Opportunity to work with modern data science tools and technologies.
- Learning support and guidance from experienced professionals.
- Opportunity to strengthen technical, analytical, and problem-solving skills.
- Experience working in a professional and collaborative environment.
- Potential consideration for future opportunities based on performance and organizational requirements.
Equal Opportunity Statement
Our client is committed to building an inclusive and diverse workplace where all qualified candidates are encouraged to apply. Selection decisions are made based on skills, qualifications, and business requirements.
“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
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