Data Idols
Head of Data Science

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Head of Data Science
HEAD OF DATA SCIENCE
SALARY: £140K–£160K
LOCATION: LONDON (HYBRID)
Data Idols are partnered with a digitally-led organisation that is investing heavily in data and machine learning as a core driver of commercial performance and competitive advantage.
They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high-impact data science function that consistently delivers measurable business outcomes.
This is not a hands-on individual contributor role. It is a mandate to shape strategy, build capability, and ensure machine learning directly influences revenue, margin, customer experience, and operational performance.
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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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.
THE OPPORTUNITY
You will define and execute a company-wide data science and machine learning strategy, ensuring investment is tightly aligned to commercial priorities and measurable business outcomes. You will build and lead a high-performing data science function, establishing clear standards, prioritisation frameworks and performance metrics, and positioning machine learning as a long-term strategic differentiator for the organisation.


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SKILLS & EXPERIENCE
- Experience operating at scale where ML directly influences commercial performance
- A track record of building and leading high-performing data science teams
- Strong stakeholder management skills, with the ability to influence at a senior level
- A solid technical foundation as a former hands-on data scientist
This is an opportunity to shape machine learning as a strategic lever within a scaling, commercially sophisticated organisation. Please submit your CV for consideration.
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