7 of 7 Remote/Hybrid Propensity Modelling Jobs in London

rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high-quality work that genuinely moves the needle for clients. As they scale, they … engineering, and technology. You will: * Lead experimentation and measurement initiatives including incrementality testing, geo-based studies, brand lift approaches, and causal inference. * Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting. * Deploy models into cloud environments and integrate into advertising platforms including ...

subject (e.g., Mathematics, Computer Science, Physics, Engineering etc) from a top University Fluent SQL skills alongside proficiency in Python for data manipulation, analysis and modelling Solid grasp of core machine learning techniques (e.g., regression, classification, clustering), when to apply them and how to evaluate results Strong communicator- able … technical audiences Desirable Experience with marketing data, digital behavioural data (Adobe Analytics/GA4) and marketing analytics use cases (e.g., segmentation, attribution, propensity modelling) is beneficial but not required Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift ...

work in a business that is actively investing in its analytics capability. You will play a lead role in shaping how advanced measurement and modelling informs commercial decisions, with clear visibility, influence, and scope to grow. The Company They are a well established, consumer focused organisation undergoing a period … supportive of innovation, with data science positioned as a strategic partner to the business. The Role Lead the development and evolution of Marketing Mix Modelling to improve how marketing investment is measured and optimised Generate actionable insights across marketing performance, CRM, and customer behaviour, influencing senior stakeholders Scale ...

right time Define and deliver the long-term vision for personalised user journeys across multiple financial products Use data to inform recommendation systems, propensity models, and targeting strategies Lead funnel analysis to identify drop-offs and optimise conversion across app and web journeys Own and contribute to experimentation … testing, measuring uplift from product and design changes Analyse and communicate performance across key metrics, including engagement, click-through rates, and conversion Support modelling work related to customer behaviour, risk, and product suitability Translate complex analysis into clear commercial insights that influence product decisions Your Skills and Experience Strong ...

cross functional, pod based environment Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences Translate … strong Python skills, with Python central to day to day analysis Proven experience with experimentation, AB testing and causal analysis Exposure to propensity modelling or recommendation based use cases A commercial mindset with the ability to link analysis to business outcomes Experience working closely with product and engineering ...

determine which products or messages to surface at different stages of the customer lifecycle. Collaborate with data science teams on recommendation systems and propensity models. Conduct funnel analysis to identify drop-offs and improve conversion and engagement. Lead and contribute to A/B testing and experimentation to measure … Python, with Python central to analytical work. Experience with experimentation, A/B testing, and measuring product or feature impact. Exposure to propensity modelling, recommendation systems, or predictive analytics. Confident translating complex analysis into clear, actionable insights for stakeholders. Comfortable operating in a fast-paced environment with high ...

join a well established data and analytics consultancy where data science sits at the heart of client delivery. You will work on commercially meaningful modelling projects, have regular exposure to end clients, and see your work directly influence real world decision making across large consumer datasets. The Company They … specialist data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling expertise. Operating as a solutions led partner, they support organisations across sectors such as utilities, telecommunications, financial services and the not for profit space. Their work focuses heavily on predictive modelling to improve ...