london, south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customersegmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Datatech Analytics
OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customersegmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯
techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customersegmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches). Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and More ❯
Lead Data Engineer Salary: £90,000 - £115,000 Location: West London (3 Days in Office) Using data science at their core, they transform complex property and customer data into insights that enhance targeting, retention, and performance. The Opportunity This flexible, data-driven start-up places Data Science at the heart of its business, using cutting-edge UK property data … to deliver powerful insights for real estate partners and retailers. By leveraging advanced analytics, predictive modelling, and customersegmentation, the company helps clients better understand and engage with their audiences, improving marketing precision, timing, and overall performance. With a strong technical foundation and a collaborative team led by experienced data leaders, the company is building efficient, automated data … with COO and other stakeholders If you're an experienced engineer with a passion for property and are looking for a role that blends hand on working with direct customer engagement, we'd love to hear from you, apply today. More ❯
Lead Data Engineer Salary: £90,000 - £115,000 Location: West London (3 Days in Office) Using data science at their core, they transform complex property and customer data into insights that enhance targeting, retention, and performance. The Opportunity This flexible, data-driven start-up places Data Science at the heart of its business, using cutting-edge UK property data … to deliver powerful insights for real estate partners and retailers. By leveraging advanced analytics, predictive modelling, and customersegmentation, the company helps clients better understand and engage with their audiences, improving marketing precision, timing, and overall performance. With a strong technical foundation and a collaborative team led by experienced data leaders, the company is building efficient, automated data … with COO and other stakeholders If you're an experienced engineer with a passion for property and are looking for a role that blends hand on working with direct customer engagement, we'd love to hear from you, apply today. More ❯
campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customersegmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with More ❯
campaign effectiveness Building dashboards and reports in ThoughtSpot Using SQL and dbt to model new data sources and improve reporting accuracy Supporting attribution modelling, A/B test reporting, customersegmentation, and LTV analysis Working cross-functionally to integrate new tools, streamline influencer processes, and improve marketing workflows Requirements: Strong SQL (complex joins, CTEs, window functions) Experience with More ❯