improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. PredictiveModelling: Employ predictivemodelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings, risks, and recommended 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, predictivemodelling 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, predictivemodelling 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, predictivemodelling 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 predictivemodelling 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 »
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, predictivemodelling 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 »
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 »
Weymouth, England, United Kingdom Hybrid / WFH Options
The Airedale Group
natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictivemodelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive 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 »
quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Pontoon Solutions
R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictivemodelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV in order more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
Concept
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 »
and organizational needs and translate these into clear requirements for your analysis. Identify opportunities for the use of advanced analytics techniques (e.g., marketing analytics, predictive modeling, and machine learning) to provide additional value to clients. Use robust statistical techniques when appropriate and be able to communicate your methodology to 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 »
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 »
Olney, Buckinghamshire, United Kingdom Hybrid / WFH Options
Nigel Frank International
related activity * Ensure that all data is being used effectively and data quality is consistent and reliable. * Work together with your team to develop predictive models to support future marketing activity * Develop an automated reporting suite that can be used to measure the effectiveness of campaigns * Recruit, train and more »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Datatech Analytics
to both help target and describe customers. Determine new methods and models to measure the incrementality of our marketing activity. Deliver complex descriptive and predictive customer behavioural analytics. Working alongside the Analytics Manager within the team to help identify opportunities for new or improved models and approaches that can … written and the ability to communicate and install this within the wider team. You've excellent analytical skills and statistical understanding, including experience in: predictivemodelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks more »
Nottingham, Nottinghamshire, East Midlands, United Kingdom Hybrid / WFH Options
Experian Ltd
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 quality are understood by stakeholders. Key Responsibilities Responsible for designing effective, efficient data models to support various types of data exploitation (reporting, analytics, predictivemodelling) 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 »
Southampton, Hampshire, South East, United Kingdom Hybrid / WFH Options
Datatech Analytics
target and describe customers. Deploy models into production so they can be consumed by other analytical teams across the business. Deliver complex descriptive and predictive customer behavioural analytics. Bring external thinking to the Company by maintaining an awareness of analytics usage in retail and other sectors and by keeping … knowledge in either Python or R with a strong ability to use SQL. You've excellent analytical skills and statistical understanding, including experience with: predictivemodelling, segmentation, time series analysis and have had hands-on experience in their application. You've had some experience using cloud based analytical more »
for valuing the impact of changes in the National Payment System on the Trusts income position.20. Support the annual activity planning process, leading on predictivemodelling and its interpretation.21. Support the Assistant Director of Finance Strategy in the annual financial planning process.22. Lead on the year-end reported more »
of the business. Act as the main point of contact for Data Science issues within that office. REQUIREMENTS: A strong background in forecasting/predictivemodelling Experience in retail is a bonus Strong communication skills Degree in a relevant subject NEXT STEPS: If this role looks of interest more »
Eastleigh, Hampshire, United Kingdom Hybrid / WFH Options
Platinum Recruitment Consultancy
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 predictivemodelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. more »
Southampton, England, United Kingdom Hybrid / WFH Options
LexisNexis Risk Solutions
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 »
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 »