176 to 200 of 905 Predictive Modelling Jobs in England

conducting all interviews online and is onboarding all new workers remotely. Job Reference: BBBH 25533 What will a Data Scientist do? Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Use a flexible, analytical approach to … design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation. Provide Business Intelligence (BI) and data visualization support More ❯

optimise location strategies across physical and digital landscapes. Projects typically last from a week to six months, covering performance analysis, customer insights, network strategies, BI & visualization, and advanced AI predictive modelling. We work closely with clients to understand their goals, incorporate feedback, and develop bespoke solutions. What you'll be doing Joining the Solution Consulting team, you will be … with you as a Subject Matter Expert to design solutions. You will remain involved as a Project Director, ensuring recommendations meet client needs. Project teams include experts in geospatial modelling, location planning, data engineering, software, and data development, along with a project manager. Client relationships are valued, and solutions have broad applications. You will become a trusted advisor, helping More ❯

analysis process, transforming small and large datasets into manageable formats for import into our software. You’ll also be supporting on the design and automation of data pipelines, building predictive models, and piloting new tools. We’ll teach you the environmental context - your superpower is data, code, and a knack for creating reliable, repeatable solutions. We’re looking for … methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression We’re a London-based More ❯

and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ … organized and detail-oriented, with a methodical approach to work, strong multi-tasking skills, and the ability to collaborate across regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib More ❯

exceptional academic track record throughout your education years. A strong analytical mindset with solid evidence of managing projects that drive commercial success. Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc) Exceptional management experience, leading analytical, creative professionals to excellence. Experience in selecting, implementing and … business and product questions into impactful analytic projects. Willingness to travel up to 2-4 times a year for internal events. Additional Skills Of Interest Experience implementing ML generated predictive models for lead generation or customer retention purposes. What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with … might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're More ❯

currently recruiting for CRM Data Scientist for a leading gambling provider based in London. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with More ❯

solve complex business challenges? Do you thrive at the intersection of business strategy and advanced analytics? Are you ready to guide world-class brands through the evolving landscape of predictive modeling, machine learning, and AI-driven solutions? Join our team as a Data Solutions Consultant specializing in Advanced Data Solutions and help our clients transform their data capabilities into … clients collect, analyze, and activate data at scale to create impactful customer experiences and drive measurable business results. We help propose, design and deliver advanced data solutions that support predictive modeling, machine learning applications, AI-driven insights, and data-driven decision making. Our work includes: Presales advisory :Having initial conversations to understand client challenges, define use cases that could … Light travel activity can be required for client workshops. Our Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with … might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

solve complex business challenges? Do you thrive at the intersection of business strategy and advanced analytics? Are you ready to guide world-class brands through the evolving landscape of predictive modeling, machine learning, and AI-driven solutions? Join our team as a Data Solutions Consultant specializing in Advanced Data Solutions and help our clients transform their data capabilities into … clients collect, analyze, and activate data at scale to create impactful customer experiences and drive measurable business results. We Help Propose, Design And Deliver Advanced Data Solutions That Support Predictive Modeling, Machine Learning Applications, AI-driven Insights, And Data-driven Decision Making. Our Work Includes Presales advisory : Having initial conversations to understand client challenges, define use cases that could … Light travel activity can be required for client workshops. Our Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in More ❯

large data sets and supporting data-driven decisions to improve products, services, and relevance to consumers. Develop a comprehensive understanding of our data landscape, customer journeys, marketing experiences, and predictive model usage across our Marketing and Clienteling activities. Lead analysis of our BAU Marketing and Clienteling experiences to help the CIX team optimize effectively. Own deep dive analyses across … campaign analyses to communicate learnings and recommendations to senior stakeholders clearly. Present analyses to senior leadership and large audiences in a clear and concise manner. Leverage understanding of existing predictive models to optimize customer experiences across EMEA and develop models for better engagement, retention, and sales. Create visualizations to highlight trends and correlations using BI tools like Tableau. Collaborate More ❯

closely with Sales, Customer Success, Marketing, and Tech teams. You'll lead the development of robust data pipelines, ensure data quality and governance, design advanced analytics capabilities, and build predictive models to optimize revenue outcomes. We're seeking a strategic leader who thrives in a fast-paced environment and is passionate about leveraging data and technology, particularly AI, to … into actionable insights and strategic recommendations for revenue leaders. Partner with RevOps and GTM leadership to develop pipeline forecasting, churn analysis, segmentation strategies, and performance attribution models. Data Science & Predictive Modeling Develop and deploy predictive models to support lead scoring, customer health scoring, revenue forecasting, upsell/cross-sell propensity, and retention. Evaluate and continuously improve model accuracy … Customer Success data models (Salesforce, HubSpot, Gainsight). Strong experience building and maintaining data pipelines with modern tools (e.g., dbt, Airflow, Fivetran, Snowflake). Proven success developing and operationalizing predictive models using Python or SQL. Expert-level skills in data visualization and BI platforms (e.g., Looker, Tableau, Metabase). Excellent communication, stakeholder management, and cross-functional collaboration skills. Strong More ❯

closely with Sales, Customer Success, Marketing, and Tech teams. You’ll lead the development of robust data pipelines, ensure data quality and governance, design advanced analytics capabilities, and build predictive models to optimize revenue outcomes. We’re seeking a strategic leader who thrives in a fast-paced environment and is passionate about leveraging data and technology, particularly AI, to … into actionable insights and strategic recommendations for revenue leaders. Partner with RevOps and GTM leadership to develop pipeline forecasting, churn analysis, segmentation strategies, and performance attribution models. Data Science & Predictive Modeling Develop and deploy predictive models to support lead scoring, customer health scoring, revenue forecasting, upsell/cross-sell propensity, and retention. Evaluate and continuously improve model accuracy … Customer Success data models (Salesforce, HubSpot, Gainsight). Strong experience building and maintaining data pipelines with modern tools (e.g., dbt, Airflow, Fivetran, Snowflake). Proven success developing and operationalizing predictive models using Python or SQL. Expert-level skills in data visualization and BI platforms (e.g., Looker, Tableau, Metabase). Excellent communication, stakeholder management, and cross-functional collaboration skills. Strong More ❯

drives performance. Bridging Product and Marketing by analysing the entire user funnel from acquisition to retention, providing data-driven recommendations that improve marketing effectiveness, product journeys, and features. Shaping Predictive Modeling by collaborating with ML engineers to influence methodology selection, feature engineering, and performance evaluation of models that reveal lifetime value of users, enabling smarter investment decisions. Uncovering Hidden … our Director of User Acquisition, CMO, Analytics and Finance leaders. Your Experience Must have: A track record of applying data science to solve marketing challenges, with meaningful experience building predictive LTV models and marketing mix models that inform strategic decisions. Strong analytical foundation in statistical methods, experiment design, and data modeling techniques—all applied specifically to marketing performance optimisation More ❯

a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide More ❯

a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide More ❯

a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide More ❯

a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide More ❯

a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide More ❯

looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams, and other stakeholders to deliver data-driven solutions. Benefits: Pension Health insurance More ❯