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Harnham

Data Scientist - Consumer Technology Platform

London
£75k – £90k/yr
Posted about 23 hours ago
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wn machine learning that drives decisions across a 4M+ member platform

About the Role

Build commercial models spanning retention, recommendations and customer growth

Work directly with senior stakeholders in a growing Data Science team

The Role

  • Build retention, churn and CLV models
  • Develop recommendation and search algorithms
  • Create forecasting and marketing mix models
  • Detect fraud, broken journeys and offer issues
  • Design and evaluate A/B tests
  • Translate business problems into scalable ML solutions
  • Tech stack: Python, SQL, Databricks, dbt, MLflow

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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.

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Strong

Only hits

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Requirements

  • 5+ years' commercial Data Science experience
  • Strong Python and SQL skills
  • Experience with customer, marketing, ecommerce or loyalty data
  • Background in retention, CLV, recommendations or experimentation
  • Excellent stakeholder management
  • Databricks, dbt or MLflow exposure is beneficial

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Why Join?

  • Up to £90,000 + 7% bonus
  • Hybrid working (2 days/week)
  • High commercial ownership and visibility
  • Dedicated MLOps support
  • Opportunity to shape strategy through machine learning

If you're looking for a role where your models directly influence customer experience, commercial performance and strategic decision making, please apply below.

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Skills

Python
SQL
Machine Learning
Databricks
dbt
MLflow
Retention Modeling
Customer Lifetime Value
Recommendation Algorithms
Search Algorithms
Forecasting
Anomaly Detection
A/B Testing
Marketing Mix Modeling
Stakeholder Management
Fraud Detection

Location

London, England, United Kingdom

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