Pulse Group
Senior Data Scientist

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We're partnering with one of the UK's largest digital consumer platforms to hire a Lead Data Scientist into a newly formed Data Science capability.
This is a genuine greenfield opportunity to help shape how machine learning influences customer engagement, subscriptions, retention and revenue growth across a business processing hundreds of thousands of events per second and managing petabytes of behavioral data.
You'll be joining at a pivotal stage as the organisation continues its transformation towards a subscription-led model, with Data Science becoming a critical part of future growth.
What you'll be working on
- Subscription propensity modelling
- Churn prediction and retention analytics
- Recommendation engines
- Customer segmentation and personalisation
- Dynamic pricing and offer optimisation
- Uplift modelling and causal inference
- Experimentation frameworks and A/B testing
- Model monitoring and performance optimisation
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 work closely with Product, Engineering, Editorial and Commercial teams to translate customer behaviour into actionable insight and measurable business outcomes.
What we're looking for
- 5+ years in Data Science or Machine Learning
- Strong Python and SQL
- Experience deploying production ML models
- Strong grounding in statistics, probability and machine learning theory
- Experience working with large-scale customer datasets
- Background in subscription, consumer, media, gaming, e-commerce, fintech or similar environments


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Experience with recommendation systems, propensity modelling, retention, personalisation or monetisation challenges would be particularly valuable.
Why join?
- Founding hire into a growing Data Science capability
- Huge influence over future direction and tooling
- Opportunity to help build a future team
- One of the UK's largest consumer datasets
- Highly visible role with direct business impact
- Modern data environment including ClickHouse, Iceberg and Python-based ML tooling
Location: London (Hybrid)
Salary: £120,000-£140,000 + benefits
For a confidential conversation, get in touch directly.
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