26 to 50 of 82 Predictive Modelling Jobs in the UK

and enhance existing trading algorithms to improve performance, execution speed, and risk management. Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights. Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading. Qualifications: Bachelor's degree more »

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 more »

utilized and integrated, with a focus on Azure and Databricks. • Employ agile methodologies to develop, deploy, and sustain analytical solutions, with a focus on predictive modelling. Collaborate with stakeholders throughout project management and delivery phases, continually refining solutions to increase business impact. • Showcase hands-on expertise in various data 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 you Strong Python experience … fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience 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 »

in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of direct brands Support delivery of pricing & underwriting business plan across … products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between more »

Desirable skills, qualifications, and experience: A personal interest and experience of participating in sport and physical activity. Skills and experience in data analytics, including predictive modelling and analysis of large and complex datasets Experience and knowledge of the UK sport and leisure sector. A degree or masters in 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 to be used in the ML algorithms when relevant Responsibilities • Supports model, application and data maintenance • Understands complex data sets, identifies patterns, builds predictive models, and makes data-driven decisions 5+ years of experience in data science/prompt engineering or similor roles Expertise in data handling, and more »

data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature selection, model training, and performance assessment in more »

in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership and team management abilities, with a 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 »

experience. THE ROLE: As the Customer Data Scientist, you will be reporting to the Head of Data Science and you will work on: statistical modelling within the customer analytics space to provide insight on customer behaviour this includes customer regression models, prediction models and forecasting for customer behaviour across … the business personalising the customer shopping experience online through past behaviours and predictive modelling building and working with models from scratch, across neural networking, segmentation, regression, propensity to buy/churn/lapse analyse the performance and success of statistical modelling, personalisation and marketing performance overseeing a … AND EXPERIENCE: excellent skills in SQL and Python experience in building and deploying analytical models from end to end experience building regression, propensity and predictive models that can be built into the systems analytical capabilities for assessing performance and success excellent communication skills for working with other teams and more »

assurance across all systems. Promote a data driven culture, advocating for the use of data and analytics in decision making and process optimisation. Using Predictive modelling solutions for current data and generating a model to help predict future outcomes. Requirements : A Computer Science/Programming Degree. Background of … using data analysis tools and software (e.g., SQL, SAS, Python and R). SQL – Advanced Proficiency Experienced in Machine Learning and predictive modelling. Background working with consultancy services. Highly experienced with MS Azure cloud platforms. 3 years minimum. Understanding of building resilient multi-site architectures. Proven ability to develop 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 »

successful when applying for this role you will need: with owning the data visualisation platform within Tableau experience in data mining, statistical analysis and predictive modelling experience using SQL to DBT, big query or other cloud data warehouses worked cross-functionally with a wide range of data teams more »

applying for this role you will need: Experience with owning the data visualisation platform within Tableau Proven experience in data mining, statistical analysis, and predictive modeling Strong experience using SQL Exposure to DBT, big query, or other cloud data warehouses Previously worked cross-functionally with a wide range of more »

fully remote working. Responsibilities: Manage rate changes and implementation of new models and pricing algorithms. Contribute to the development of the pricing ecosystem. Build predictive models using SAS, RADAR , EMBLEM, and other software packages Help to shape the direction of the product with a forward-looking approach and willingness 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 »

the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish more »

management, including data acquisition, data cleaning, data integration, and data visualization. Proficiency in data analysis techniques, including statistical analysis, machine learning, data mining, and predictive modelling. Experience with tools such as R, Python (including libraries like NumPy, Pandas, scikit-learn), MATLAB, or SAS is often necessary. Proficiency in cartographic 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 »

development and implementation of sophisticated analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from … of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data Science 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 »

you'll have the opportunity to dive into a diverse range of tasks and objectives, from delving into simple data analysis to tackling complex predictive modelling and machine learning algorithms. Role Your role will involve not only working on data projects but also contributing to system development for more »

strategies Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process Collaborate with the PM in a transparent environment, engaging with the whole investment process Provide more »