Data Idols
Data Scientist

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DATA SCIENTIST
SALARY: £50K - £60K
LOCATION: LONDON | HYBRID
Data Idols are working with an established organisation looking for a Data Scientist to join their growing data function.
This is an opportunity to join a collaborative team working on complex modelling problems, using Data Science and Machine Learning to support better commercial decisions. The role will have a particular focus on credit, making it a great opportunity for someone with experience working with financial or risk-based data.
THE OPPORTUNITY
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.
As a Data Scientist, you’ll develop and improve statistical and Machine Learning models, working with large and complex datasets to identify patterns, understand performance and deliver actionable insights.
- You’ll be involved throughout the modelling lifecycle, from initial exploration and feature development through to implementation, monitoring and ongoing optimisation.
- You’ll work closely with technical and non-technical teams across the organisation, helping turn complex data into practical solutions that can be used to improve business outcomes.


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SKILLS AND EXPERIENCE
- Exposure to credit, risk or financial datasets
- Strong Python skills
- Strong SQL skills
- Experience working with large and complex datasets
- Understanding of the end-to-end model development lifecycle
- Strong statistical and analytical problem-solving skills
If you’re a Data Scientist looking for your next opportunity and want to work on interesting modelling challenges within a collaborative data team, we’d love to hear from you.
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Jessica, London
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