1 to 25 of 29 Predictive Modelling Jobs in the UK excluding London

/EPM. Understanding of Artificial Intelligence, machine learning techniques and other Cloud Platforms (eg Azure and Salesforce) Knowledge of machine learning techniques, such as predictive modelling, regression, classification, clustering, and reinforcement learning Knowledge of modern data architecture, including cloud and distributed computing and experience working with data warehouse more »

improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language, ideally Python but can also be Java or C/ more »

database), adopting appropriate tools, techniques, and applying best practice. Deliver, with minimal supervision, high quality data science outputs and products, for example reports, dashboards, predictive models. Communicate project updates, outcomes and learning through the best channel and at the appropriate level of detail for the audience. Collaborate with and more »

of the business. Act as the main point of contact for Data Science issues within that office. REQUIREMENTS: A strong background in forecasting/predictive modelling Experience in retail is a bonus Strong communication skills Degree in a relevant subject NEXT STEPS: If this role looks of interest more »

to share ownership in solving this problem end to end. From exploring new data sources for building features, to design and put in production predictive models and make sure they perform consistently over time. About The Role As a Senior Site Reliability Engineer, your purpose is to ensure that more »

LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team of data scientists. You … team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other analytical product features … collaboration with other business teams runs smoothly. Supporting senior leaders to shape and deliver our data science strategy. Running analytical research projects and building predictive risk models as required. Requirements Experience of leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written more »

with colleagues across the business to implement high quality, data-driven decisions. They will ensure data accuracy and consistent reporting. They will use data modelling, predictive modelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business … identifying requirements for quality control and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements. Participate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide business decisions and uncover optimisation opportunities. more »

with colleagues across the business to implement high quality, data-driven decisions. They will ensure data accuracy and consistent reporting. They will use data modelling, predictive modelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business … identifying requirements for quality control and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements. Participate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide business decisions and uncover optimisation opportunities. more »

with colleagues across the business to implement high quality, data-driven decisions. They will ensure data accuracy and consistent reporting. They will use data modelling, predictive modelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business … identifying requirements for quality control and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements. Participate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide business decisions and uncover optimisation opportunities. more »

DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … the organisation! THE ROLE As the Data Scientist your focus will be to design and run experiments to collect and process relevant data for predictive models, specifically you will have to: Build and implement predictive models that drive business performance and understanding Deliver an understanding of logistics, cost … saving and supply chain, you will use predictive models to forecast and money save! Tell a story with the data through data visualisation, highlighting clear strategic direction and insights to stakeholders Help to grow the analytics capabilities of the logistics team, work with senior stakeholders to question and innovative more »

R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictive modelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV in order more »

clearly and concisely using visualisations, dashboards, and reports. Communicate complex data concepts in a way that is easily understandable to non-technical audiences. Data Modelling and Forecasting: Develop models and algorithms to predict future trends, behaviour, or outcomes based on historical data. Apply statistical methods and machine learning techniques … to build predictive models. Data Quality and Integrity: Ensure data accuracy, consistency, and integrity throughout the analysis process. Identify and resolve data quality issues or inconsistencies. Data Visualisation: Create visually appealing and interactive charts, graphs, and dashboards to represent data analysis results. Problem-Solving: Identify business problems or challenges more »

inspire the team of 13 Insight and Analytical professionals. Responsibilities Promote best practice methodologies and new approaches to data analytics and research techniques. Develop predictive modelling for customer data-driven personalisation of communications and experience delivery. Develop segmentation and understand what Motability Operations’ customers truly value. Set the more »

Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities Building and testing … be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes Providing technical support and be a resource to internal partners in Product, Technology more »

natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive more »

person A third level degree and significant experience in data science Strong skills in python, SQL, R Experienced building machine learning models, and releasing predictive models to production Experienced in solving business problems with data led solutions The salary for this role is up to £90,000, plus bonus more »

data quality are understood by stakeholders. Key Responsibilities Responsible for designing effective, efficient data models to support various types of data exploitation (reporting, analytics, predictive modelling) Lead the development and maintenance of the IM platform, setting coding standards. Design, implement, and maintain data pipelines for data ingestion, processing … data analytics, architecture and design including cloud/hybrid Solid in end-user and visualisation tools and proficient in equivalent technologies Experience in data modelling methodologies Experience with evolving technologies i.e. Big Data, Real Time Analytics, Predictive Analytics, Bots Experience with emerging practices i.e. Agile, DataOps more »

to share ownership in solving this problem end to end. From exploring new data sources for building features, to design and put in production predictive models and make sure they perform consistently over time. The individual will assist with reviewing existing tools, applications, and processes to help strengthen and more »

decision-making across all HR functions. Trend Identification and Forecasting: Identify trends and patterns within HR data, proactively anticipating future needs and challenges. Develop predictive models to forecast workforce trends, retention rates, and talent acquisition requirements. Performance Metrics Development: Design and implement comprehensive performance metrics and KPIs to evaluate more »

is responsible for and enhancing the business’s lead management and CRM capabilities BI analysts with accurate and relevant application data business insights and predictive models developed by the BI team into self-optimising, productionised systems within the wider business. The ideal candidate will be responsible for developing and more »

to help role out and align data initiatives within the business. These may span across marketing, commercial, product development, and customer experience Help deploy predictive models to help develop customer personalisation Spearhead the creation of actionable insights across the business Coach, develop and lead a growing team WHAT WE … a consumer tech business/environment (B2C) Previously driven change in a business and championed data initiatives Previously worked in customer personalisation and leveraged predictive analytics to enhance customer journey/marketing personalisation Exceptional communication skills with gravitas for handling C-suite stakeholders Able to be hands-on to … days, please take it as you have been unsuccessful on this occasion Desired Skills and Experience SQL, data visualisation, director of data, stakeholder engagement, predictive analytics, data science, data engineering, product management, product analytics, team management, leadership, data analytics, data analysis, Python more »

provide theoretical and practical knowledge of Business Intelligence Architecture including Extract, Transform and Load (ETL), SSIS (SQL Server Integration Services), Data Warehousing and Data Modelling? The role will develop an array of data science approaches to ensure user requirements are met with accurate and well-presented outputs supporting the … Provide theoretical and practical knowledge of Business Intelligence Architecture including Extract, Transform and Load (ETL), SSIS (SQL Server Integration Services), Data Warehousing and Data Modelling to team members Provide reports to an agreed standard to meet the requirements of NIHR Academy Executive Board Provide support and contribute to the … to Information Requests and long-term analytics Technical Provide advanced theoretical and practical knowledge of data architecture and data base design to support data modelling and the development of analytical data visualisation dashboards and reporting. Be/Act as the domain expert for machine learning and AI, understand what more »

bespoke market segmentations that can be actioned to support both strategy and audience planning supporting location investment projects such as store estate planning building predictive models to support more effective media activation The Senior Analytics Manager will manage the longer-term prioritisation of client facing analytical needs and opportunities more »

data scientist with strong technical skills in managing data and working with data warehouse environments, developing business intelligence products (including interactive visual reports), data modelling, and producing analysis using statistical software (e.g. R and Python). The Data Scientist will use their technical skills to implement statistical analysis, develop … data, communicating analysis with clarity and impact. You will provide specialist knowledge and practice skills in the implementation of analytical techniques (including statistical analysis, predictive modelling and forecasting, and mining of data) to support Business Informatics colleagues deliver an effective business intelligence function to the Trust. About us … Essential Skills in at least one programming language commonly used for analysis Advanced user of MS Office suite, in particular Excel & SQL Server Benchmarking, modelling and forecasting skills Knowledge of data warehouse environments Strong communication skills both written and verbal Desirable Advanced user in R or Python Use of more »

of working from home and office. What's involved? Managing a team of Pricing Analysts and Senior Pricing Analyst. Develop, validate, review and approve predictive and machine learning models. Lead the pricing strategy development process, including pricing optimisation and analysis. Conduct comprehensive market research to identify pricing trends and … Experience in insurance pricing or related analytical background. Highly skilled in the use of programming language e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. more »