CareerAddict

Data Scientist

CV-Library

Posted on Jun 29, 2026 by CV-Library
London, United Kingdom
IT
Immediate Start
£350 - £375 Daily
Contract/Project
Data Scientist
£375pd inside IR35
London with Hybrid working
Number of days a week worked in the office: 3 + on demand in case of any important meetings
Initially 3 months with possible extension

* Build statistical and machine learning models using advanced techniques such as clustering, regression, predictive analytics.

* Hands-on expertise building and validating statistical/ML models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs

* Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation).

* Needs working knowledge of data governance and responsible AI expectations (privacy, bias awareness, reproducibility), aligned to focus on using data and AI to improve outcomes and productivity

Reference: 225306315

https://jobs.careeraddict.com/post/113479652
CV-Library

Data Scientist

CV-Library

Posted on Jun 29, 2026 by CV-Library

Print
London, United Kingdom
IT
Immediate Start
£350 - £375 Daily
Contract/Project
Data Scientist
£375pd inside IR35
London with Hybrid working
Number of days a week worked in the office: 3 + on demand in case of any important meetings
Initially 3 months with possible extension

* Build statistical and machine learning models using advanced techniques such as clustering, regression, predictive analytics.

* Hands-on expertise building and validating statistical/ML models (e.g., clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs

* Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation).

* Needs working knowledge of data governance and responsible AI expectations (privacy, bias awareness, reproducibility), aligned to focus on using data and AI to improve outcomes and productivity
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Reference: 225306315

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