Oho Group
Graduate Data Scientist

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Graduate Data Scientist / Fast-Growing FinTech / London
A fast-growing FinTech startup is looking for a Graduate Data Scientist to join its high-performing data team and help shape the next generation of intelligent, data-driven products.
This is an opportunity to join a company where data sits at the heart of every decision. You'll work across Product, Engineering, and Commercial teams, building machine learning models and analytical solutions that directly influence customer experience, product strategy, and business growth. If you're looking for a role with real ownership, rapid progression, and the chance to learn from an exceptional team, this is it.
What's in it for you?
- Join one of London's fastest-growing technology businesses with a collaborative, high-performing culture
- Significant ownership and responsibility from day one
- Work on high-impact machine learning and analytics projects that directly shape the product
- Fast career progression with dedicated mentoring, learning budget, and continuous development
- Competitive salary, share options, excellent benefits, and genuine long-term growth opportunities
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.
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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.
What they're looking for:
- 1+ years' experience in Data Science (commercial, academic, or personal projects)
- Strong Python skills (Pandas, scikit-learn, TensorFlow/PyTorch or similar)
- Understanding of statistics, machine learning, and experimentation (A/B testing, model validation)
- Experience with SQL and modern data tooling such as dbt, BigQuery, Spark, or similar
- Strong problem-solving ability with a commercial mindset
- Excellent communication skills and the ability to work across technical and non-technical teams
- A degree in Computer Science, Mathematics, Statistics, Data Science, Physics, or another STEM discipline
- Ambitious individuals looking to accelerate your career in a fast-paced startup


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Nice to have:
- Experience deploying machine learning models into production
- Exposure to cloud platforms such as AWS, GCP, or Azure
- Personal projects, Kaggle competitions, or open-source contributions
If you're looking for a role where you'll learn quickly, solve meaningful problems, and build products that make a measurable impact while surrounded by an exceptional team, we'd love to hear from you.
“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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