Burns Sheehan
Data Scientist

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Data Scientist
Data Scientist
Central London | Hybrid £55–60k + Equity
We’re partnered with a high-growth, VC-backed FinTech in the payments space that’s continuing to invest heavily in its data capability as the business scales.
They’re now looking for a Data Scientist to join their Finance & Data team and help turn complex datasets into insights that drive smarter decisions across the business.
This is a hands-on Data Scientist role where you’ll be working closely with senior leadership as well as teams across product, engineering, marketing, and operations. The work you do as a Data Scientist will feed directly into commercial and product decisions as the company continues to scale.
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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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.
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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.
You’ll analyse large datasets, build models, and create dashboards that help teams understand performance and trends across the organisation. They’re looking for a Data Scientist who can go beyond reporting and help shape decisions by challenging assumptions and translating data into clear, actionable insight.
This role suits a Data Scientist who enjoys:
- Solving real problems
- Working closely with stakeholders
- Operating in a fast-growing fintech environment
Responsibilities
- Analyse large datasets to identify trends and insights
- Build predictive and prescriptive models using Python or R
- Create data-driven dashboards to enable better decision-making
- Collaborate with product and engineering teams to implement data solutions
- Challenge assumptions and provide guidance to business leaders


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Experience Needed
- 2–5+ years experience as a Data Scientist
- Strong proficiency in Python or R for analysis and modelling
- Strong SQL capabilities
- Experience building and optimising databases using dbt
- Knowledge of data modelling and orchestration
- Solid understanding of statistics, experimentation, or quantitative analysis
- Practical experience working with modern data warehouses (Snowflake, Redshift, etc.)
Interested? Drop me a message or email emy@burnssheehan.co.uk if you’d like to hear more.
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