your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, PropensityModelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics more »
your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, PropensityModelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
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 »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
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 »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
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 »
range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space.Day to Day the Lead Data Scientist will:Manage and Run the Data Science Team Build a new Data Warehouse Build the Data Environment … Build out a new set of credit model Work across the current range of credit models within the business, including scorecards, propensity models, and IFRS9 models Develop challenger models to improve and enhance the modelling suite Monitor and report on these models, taking oversight across the modellingmore »
range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space. Day to Day the Lead Data Scientist will: • Manage and Run the Data Science Team • Build a new Data Warehouse • Build out a … new set of credit model • Work across the current range of credit models within the business, including scorecards, propensity models, and IFRS9 models • Develop challenger models to improve and enhance the modelling suite • Monitor and report on these models, taking oversight across the modelling processLead Data Scientists … should have: • 7 years of Data Science experience • Essential to have at least 1 years’ experience in credit modelling • Strong SQL • Strong skills in Python/SQL or R • Strong understanding of data warehousing • AI Tooling • Good understanding of Credit Bureau Data The environment is that of Facebook or more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
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 »
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 »
Birmingham, England, United Kingdom Hybrid / WFH Options
Harnham
and Python for conducting analytics work, understanding customer behaviour, lifetime value, retention, etc. and deployment of segmentation models to fully understand the customer base, propensity models to predict future customer behaviour, and customer frequency modelling different business problems and how data can help the business YOUR SKILLS AND more »
