51 to 59 of 59 Customer Analytics Jobs in England

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

Finance, Product, and Growth in a highly data-driven environment. You'll join a small but impactful central data team, owning end-to-end analytics projects and delivering insights that directly influence strategic decisions. This role is ideal for someone who enjoys autonomy, solving complex commercial problems, and working … across large, behaviour-rich datasets. What you'll do Tackle business-critical analytics challenges - not pipeline engineering. Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent). Build BI models and dashboards (Looker/Power BI/Omni-style tools). Analyse marketing performance, ad spend ...

centralised data team. With over 37 million users worldwide and a mission rooted in behavioural science, this is an opportunity to work on impactful analytics that directly shape product, marketing, finance and growth decisions. The business operates fully remote and is aligned to European time zones. The Role … influential data team that partners closely across Finance, Marketing, Product and Growth. This is a broad and commercial role focused on solving business critical analytics problems rather than building pipelines. You will work end to end across scoping, analysis, modelling, recommendations and delivery. You will use SQL, Python ...

Since 2006, we've been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai … ensuring delivery aligns with client objectives, profitability targets, and timelines. Provide strategic oversight to clients, helping optimise marketing spend, enhance campaign performance, and improve customer segmentation and ROI. Support partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs/pitches Continuously identify ...

Since 2006, we've been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer analytics, Operational excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai … ensuring delivery aligns with client objectives, profitability targets, and timelines. Provide strategic oversight to clients, helping optimise marketing spend, enhance campaign performance, and improve customer segmentation and ROI. Support partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs/pitches Continuously identify ...