Data Idols
Senior Data Scientist

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Senior Data Scientist
Salary: £80K - £85K
Location: London | Hybrid
Data Idols are recruiting a Senior Data Scientist to develop the next generation of recommendation engines, conversational AI experiences, and personalisation models for a large-scale digital platform. This is an opportunity to combine machine learning, recommender systems, and Generative AI to solve real-world customer problems while delivering measurable commercial impact.
The Opportunity
You'll design, build, and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you'll be working on products used by millions of customers every day.
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.
This is a highly collaborative role where you'll partner with Product Managers, Engineers, and MLOps teams to take ideas from experimentation into production. You'll also help shape technical best practice across the team, championing robust experimentation, high-quality code, and scalable machine learning systems.
Skills & Experience
- Strong commercial experience with Python
- Excellent understanding of machine learning, statistical modelling, and experimental design
- Experience developing and deploying end-to-end machine learning products into production
- Knowledge of recommender systems, personalisation, retrieval, or ranking techniques is highly desirable
- Experience working with LLMs, Generative AI, or conversational AI products would be advantageous


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