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2 data scientist jobs found in London

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Outside Spy
Oct 20, 2026
6 Months or more
Senior Data Scientist (MLOps/Graph/Fuzzy) - Out IR35, to £630/day at Sentinel, London, 6 Months, £555-£630 per day
£555 - £630 per day
Outside Spy London, UK
Work anywhere in the UK outside IR35 helping this large retailer improve their marketing decisions related to consumer data. Forget the job title - can you use fuzzy matching techniques and model based matching to help this retailer identify customer patterns around payments to assist marketing efforts at scale? If you can, we don't care whether you are a DS, Data Engineer or a Platform Engineer. Using advanced MLOps and Graph techniques across MDM, you'll help deliver a framework that helps identification improvement. You'll have a consultative mindset and strong ML-based identity resolution knowledge. There's visibility of work until end of 2027 and beyond, you might have to go to a workshop 1-2 times per year, but otherwise you'll be WFH working with a supportive team of tech experts. You must be able to start in October/early Nov at the latest. We have stated London (because we have to submit a nominal location) but we welcome applications from all over the UK. £555 -...
Outside Spy
Oct 14, 2026
Duration not stated
Data Scientist (Contract) at Harnham - Data & Analytics Recruitment, London, £500-£550 per day
£500 - £550 per day
Outside Spy London, UK
Contract Data Scientist Outside IR35 £500 - £550 Per Day 2 Month Duration 2 Days In London Office The Company They are a specialist technology business that develops advanced analytics solutions deployed within clients ' secure environments. Their platform helps organisations understand customer behaviour, identify value drivers, and build predictive capabilities using transactional and event data. They work closely with enterprise clients on complex, data-led challenges, combining product innovation with practical delivery. The Role and Deliverables Build customer segmentation, propensity, and forecasting models using large-scale customer datasets. Lead clustering and segmentation analysis, with a particular focus on delivering a core segmentation and supporting sub-segmentations. Develop models relating to motor and home insurance quote behaviour and customer decision-making. Work from defined business requirements and data science...
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