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

re looking for:o Expert knowledge and expertise in applying data science and advanced analytical techniques including machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high value projects.o Expertise in using R and … implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative AI. Expanding team capabilities. Leads on the implementation of production machine … advice and guidance across the NHSBSA on data science and advanced analytical techniques including the development of machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as the application of generative AI. This will include individuals and groups of customers at all levels and 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 »

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 »

LEAD DATA SCIENTIST £60,000 – 75,000 LEICESTER 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! THE COMPANY A UK renowned retailer within fashion going through a HUGE digital transformation and … organisation! THE ROLE As a Lead 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 who customers … 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, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics 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 »

Data Visualisation tools such as Tableau or Power BI. A good knowledge of core analytical methods and statistical approaches. A background in behavioural science. Predictive modelling experience. Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you 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 »

maintenance, debugging, and performance optimisations. Extract features from CAD/CAM software Analyse large manufacturing datasets using statistical techniques and machine learning algorithms. Develop predictive models and optimisation algorithms to maximise business opportunities. Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and reliability. Working in our technical more »

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: predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks more »

and the use of Power BI. Using this software will allow for further automation of reports, and allow the team to focus on predictive modelling, improved data quality, monitor outcomes and support operational managers with performance decisions and pathway management. The role is based with the Data & Analytics … of NHS data sets Knowledge of statistical tools, eg, R Knowledge of specialties and pathways within the NHS Experience of NHS capacity and demand modelling Forecasting Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will 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 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 »

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: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application. You've had some experience using cloud based analytical more »

trends and opportunities. Collaborating with key stakeholders from around the business to understand their data needs. Working with large data sets and applying statistical modelling to unearth useful insights. Tell a story form the data and make actionable recommendations to drive strategic decisions. Implement processes to improve efficient data … understanding the customer and using data to drive business strategy Ability to unearth actionable insights from complex data Ideally has experience in statistical and predictive modelling (desirable) Presentation skills and experience managing senior stakeholders If you are interested in this role, please get in touch with Sophie at 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 »

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 »

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 »

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 »

maintain reports, dashboards, and visualisations to present findings effectively. Collaborate with stakeholders to understand business objectives and deliver relevant insights. Utilise statistical techniques and predictive modeling to forecast future trends and outcomes. Continuously monitor data quality and integrity to ensure accuracy and reliability. Requirements: Proven experience as a Data 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 »

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 »

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 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 … support of existing and new customer sales 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, Sales 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 »

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 »