SHIHiring

Data Scientist

  • London, England
  • Entry-level
  • Posted 13 days ago
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In one line

Early-career data science role on a new growth and deal operations team, building models for pricing, margins and deal scoring in an enterprise IT business.

About the role

Pricing and deal decisions across a large enterprise business need better models behind them. The work turns historical pricing, win/loss and cost data into scoring tools that sales, finance and pricing teams can actually use.

At a glance

Pay
Not stated in the posting
Location
London, England
Seniority
Entry-level
Skills
Machine learning, Regression, Clustering, Time series forecasting, Classification, A/B testing
Posted
22 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Help build machine learning models for pricing, margin prediction and customer segmentation.
  • Create and maintain deal scoring models that weigh strategic value against commercial risk.
  • Build dashboards and visualisations that show pricing performance and deal behaviour.

What they look for

  • Can spot patterns, propose hypotheses and test them with statistical methods.
  • Able to explain complex findings clearly to different audiences.
  • Careful about errors and inconsistencies in your own work.

How Keywordise applies for you

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Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
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Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
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Questions about this job

Where is this job based?

The posting lists Data Scientist as a role based in London, England, United Kingdom.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is an entry-level role. The posting asks for: can spot patterns, propose hypotheses and test them with statistical methods; able to explain complex findings clearly to different audiences; careful about errors and inconsistencies in your own work. Skills it names include Machine learning, Regression, Clustering, Time series forecasting.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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