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Data Science Manager

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Data Science Manager
Hybrid – West London (2 days per week)
Up to £90,000 + 5% Bonus
We're working with a leading global insights and analytics business that's investing heavily in the growth of its Data Science capability. They help some of the world's biggest consumer brands understand audience behaviour, marketing effectiveness and consumer trends through advanced analytics, machine learning and data science.
They're now looking for a Data Science Manager to lead a team of four Data Scientists whilst remaining hands-on with the technology.
The Why? (Just a couple of highlights...)
- Lead whilst staying technical – Manage a team of Data Scientists without moving away from hands-on machine learning and modelling.
- Commercial impact – Build models that directly influence how global brands make marketing, advertising and consumer decisions.
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.
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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 What?
Reporting into the Data Science Director, you'll lead a team of four Data Scientists within a wider 30-person Data Science function. The role is roughly 50% leadership and 50% hands-on, giving you the opportunity to mentor and develop your team whilst continuing to build sophisticated machine learning and predictive models. You'll work closely with stakeholders across the business, translating complex analytical challenges into practical commercial solutions.
Key Things You'll Be Doing
- Leading and developing a team of four Data Scientists
- Building Machine Learning and predictive models using Python and Azure Databricks
- Working with large-scale consumer, audience and marketing datasets
- Presenting analytical insights to senior stakeholders
- Driving best practice across modelling, experimentation and Data Science
- Working closely with Product, Technology and Commercial teams to solve complex business problems


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What You'll Bring
- Strong experience with Python, Machine Learning and Azure Databricks
- Previous leadership or people management experience within a Data Science team
- A strong mathematical or statistical background
- Excellent stakeholder management and communication skills
- Experience within Market Research, Media Analytics, Audience Measurement, Consumer Insights or Marketing Science would be highly advantageous
The Benefits? (Skinny)
- Up to £90,000
- 5% Annual Bonus
- Hybrid working (2 days per week)
- 25 days holiday + bank holidays
- Private healthcare
- Pension
- Ongoing learning and development
- Opportunity to lead a high-performing Data Science team whilst remaining hands-on with modern Azure and Machine Learning technologies
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