9 Propensity Modelling Jobs in London

you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning models to the cloud Collaborate with Data Engineers and Software Engineers SKILLS AND EXPERIENCE Strong academic background to Degree more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

ROLE As a Data Scientist working in this team, you will have the following responsibilities: Working on a variety of projects including segmentation, forecasting, propensity modelling and recommender systems An opportunity to drive commercial value within a team of 7 Data Scientists, then working closely with a Data … working culture Looking for candidates who are confident speaking to stakeholders within a flat hierarchy - everyone has a say! REQUIREMENTS: Experience across some of propensity, forecasting and recommender systems - with clear commercial value on the CV Confident in presenting and working with stakeholders, with excellent communication skills and business more »

and reputable PropertyTech scale-up, where data science and machine learning drive their core operations! THE ROLE Engage in diverse projects spanning segmentation, forecasting, propensity modelling, and recommender systems. Drive commercial value alongside a team of 7 Data Scientists, collaborating closely with their Data Engineering unit. Experience end … end project ownership within a vibrant team culture. We're looking for candidates comfortable interacting with stakeholders in a flat hierarchy REQUIREMENTS: Proficiency across propensity modeling, forecasting, and recommender systems, demonstrating clear commercial impact on your CV. Confident in stakeholder engagement, possessing excellent communication skills and business acumen. Hold more »

Build a strategic understanding of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with more »

languages such as Python, SQL, and others to implement statistical methods effectively addressing specific business problems. You will be working extensively on forecasting/propensity modeling. Develop robust models and perform data-driven analyses to support strategic decision-making processes. Innovate and enhance existing methodologies by creating new data … for this role, please submit your CV to Luc Simpson-Kent through the application link provided on this page Desired Skills and Experience Forecasting, Propensity, Python more »

My banking client are looking for a Credit Risk Modelling Manager to work in the IRB Model Development team in the Risk Analytics department. 6 years+ of credit modelling experience with advanced SAS or SQL. Statistical background with credit modelling experience. IRB experience an advantage but not … objective for the bank. The role involves working closely with colleagues across the Business, Credit Risk and the Chief Data Office. The Credit Risk Modelling Manager role reports into the Head of Specialised Lending IRB Model Development, and will play a leading role in the re-development of existing … Business teams and leading workshops to understand how our analytic outputs can support their decision making. Extracting, transforming, and cleaning the data required for modelling and analysis purposes; Engaging with regulatory bodies as part of the on-going cycle of regulatory review of our models Contributing to the standards more »

SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability … Responsibilities: Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies. Analyze transactional and financial data to uncover trends and insights that more »