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Data Scientist

Addition

Full-time Mid-level 💰 £66,526 /year 📍 London, UK 🇬🇧 United Kingdom
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Posted 4mo ago • 54 views • via Adzuna

Job Description

Data Scientist – Unlock the Power of Data to Drive Business Transformation Are you passionate about turning complex data into actionable insights that can revolutionize business strategies? As a Data Scientist specializing in predictive analytics, you'll play a vital role in harnessing the power of data to shape smarter decisions and fuel growth. Join our team and be at the forefront of innovative data-driven solutions that make a real impact. Role Overview: Location: Paddington (Hybrid) Packag…

About this Data Scientist role

This data scientist position at Addition is based in London, UK . It falls within the Data science field , targeting candidates at the Mid-level level. The compensation range of £66,526 per year reflects the responsibility level expected from the successful candidate.

Working environment: United Kingdom has an established data science ecosystem. Data science professionals working in United Kingdom typically collaborate across timezones, which suits async-friendly work styles.

How to apply: Click the Apply button on this page to be redirected to Addition's official application portal. Make sure your CV highlights relevant Data science experience and any quantifiable achievements (revenue impact, system scale, team size, etc.). Most companies prioritise candidates who can articulate concrete past results over generic skill lists.

Note from Fanny Engriana (Founder, Wardigi Digital Agency): I've evaluated dozens of data science hires across our agency projects. Roles with explicit salary ranges and clear scope (like this one) tend to attract better-aligned applicants — usually a positive signal about the company's hiring maturity.

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Job Summary

Company
Addition
Location
📍 London, UK
Country
🇬🇧 United Kingdom
Salary
£66,526 /year
Employment Type
Full-time
Experience Level
Mid-level
Category
Data science
Posted
Jun 8, 2026
Source
Adzuna
Apply Now →

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