Senior Data Scientist - Consumer Lending Hybrid working - London Offices Negotiable to £75,000 DEO + Benefits Reference - J12979 Our client is an innovative UK based consumer finance business, with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making. They are on a mission to redefine the consumer finance experience and … to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever. About The Role As a Senior Data Scientist your role will span across the whole lifecycle of model development. That means you are someone who enjoys in equal measures the datawrangling to compose … ll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: datawrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine More ❯
providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better decisions and help fashion partners find better audiences as … strong Machine Learning Engineer to join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to … monitor models in production: setting up retraining workflows, pipeline orchestration, and performance alerts. You will be supported in this by your tech lead and colleagues from the wider Data Science chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS More ❯
Role description: We are looking for a Performance Insights Consultant to join Arcadis' Business Advisory team. You will play a key role in shaping and delivering high-impact, data-led transformation projects across our Mobility, Places, and Resilience sectors. Working largely independently under the guidance of senior leaders, you will proactively design and deliver multi-service workstreams, build … impactful outcomes Generate actionable insights across cost, performance, risk, and operational effectiveness Develop and implement scalable reporting and benchmarking solutions Leverage expertise in business intelligence, advanced analytics, and data storytelling to drive client value Embed modern analytics tools and approaches into client programmes to enable sustainable improvements Collaborate with colleagues across Arcadis to integrate insights into wider strategic … functional input Technical Strong experience in Power BI (or Tableau, Qlik) to design and deliver enterprise-grade reporting and interactive dashboards Experience with Python for advanced analytics, forecasting, datawrangling, and automation of insight generation Intermediate to advanced SQL knowledge for structured data access and performance optimisation Exposure to machine learning techniques such as clustering, regression More ❯
technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business-critical data and the latest advancements in AI to solve them. Whether it's "How do we predict and mitigate wildfire risks to optimize power grids?" or "How can we analyze … s most critical industries and institutions. By building on Palantir's powerful platforms leveraging integrated cutting-edge AI, you'll help organizations unlock the full potential of their data to make smarter, faster decisions. Core Responsibilities As an FDSE, you'll experience the autonomy of a startup, with the resources, mentorship, and stability of an established tech company. … agile teams and own the end-to-end execution and implementation of high-stakes projects, including: Collaborating with fellow engineers on architecture and design decisions Wrangling massive-scale data and using AI to accelerate and enhance critical operations Developing custom applications tailored to customer needs Engaging directly with customer stakeholders, from technical teams to executives Shaping team strategy More ❯
