1 to 25 of 41 Predictive Modelling Jobs in the UK excluding London

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 »

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 »

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 »

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 »

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 »

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 »

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 »

ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production.About youStrong Python experience, including DS … identify and fix data quality issues & perform initial exploratory data analysisInterest in sports and betting/prediction/probability problemsExperience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are more »

environmentMinimum of 3 years of hands-on experience in AI/ML developmentProven experience in Python, R, TensorFlow, PyTorch or Similar FrameworksPrevious Experience building Predictive Models (e.g., Research Pricing, recommendation systems)Strong background in Cloud platforms (AWS, GCP, Azure) and Containerisation (Kubernetes, DockerProven Experience working across Data platforms (e.g. more »

and R is crucial.• Ability to design, implement, and refine complex trading algorithms that can processlarge volumes of data in real-time to make predictive trading decisions based on multiplevariables.• Expertise in managing and manipulating large datasets, using SQL databases andpotentially NoSQL databases. Knowledge of data warehousing, data mining … to understand,implement, and optimize mathematical models that drive trading strategies.• Experience with Machine Learning and Artificial Intelligence including ML and AItechniques to develop predictive models and enhance algorithmic strategies. Familiaritywith libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularlyuseful.• Knowledge of risk management software 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 »

understand business requirements and translate them into technical solutions. * Perform data exploration and analysis to uncover insights and inform decision-making. * Create and deploy predictive models and algorithms to solve complex business problems. * Optimize and tune machine learning models for performance and scalability. * Develop and maintain documentation for data 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 »

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,C++, Java, SQL) Familiarity with Big Data frameworks more »

to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights.ResponsibilitiesSpearhead projects with cross functional leadersUse models like regression and propensity models, time-series more »

s degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied Neural Networks (CNN & RNN), LLMsDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Experience Managing/leading more »

needs into impactful AI solutions, guide project execution, and mentor junior data scientists through clear communication and knowledge sharing.Research and implement emerging NLP and predictive modeling techniques, architect and manage APIs, and continuously learn to push the boundaries of AI.We're Looking For:Proven experience building and deploying models 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 »

and databases.Perform routine maintenance, debugging, and performance optimisations.Extract features from CAD/CAM softwareAnalyse 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 team, you 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 »

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 »

and work with clients to understand their objectives and harness the power of data and technology for organisational success.What's will you be doing: Predictive modelling for performance optimisation Analyse data to discover trends Provide clear, actionable recommendations based on insightful analysisWorking with clients closely to identify their … pitches as well as existingWhat we'd love to see:Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience (AWS) The business operate on a hybrid working model and are in the office 3 days a week. more »

R, or Java, and familiarity with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Spark.Solid understanding of statistical analysis, data mining, and predictive modeling techniques.Experience with big data technologies such as Hadoop, Spark, and distributed computing frameworks.What is in it for you?Significant Bonus Package. Flexible working 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 »

decisions to deliver better products, service and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models, and generating actionable recommendations to optimise customer experiences and drive business growth.Responsibilities:Utilise Dataiku and other analytical tools to extract, clean, and explore … customer data from various sources.Identify patterns, trends, and correlations within the data to uncover actionable insights.Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action.Implement machine learning techniques to segment customers and personalise marketing strategies.Collaborate with cross-functional teams to enhance CRM strategies based on data … personas based on behavioural, transactional, and demographic data.Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty.Requirements1-3 years experience in data analysis, statistical modelling, and machine learning techniques.Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure.Strong programming skills more »