26 to 50 of 99 Permanent Predictive Modelling Jobs in the UK

return they will be looking to keep someone on long term. Experience required You need to have experience leading research and development of new predictive model for sports betting You should have a strong background within High Frequency Trading (HFT) You must have a deep understanding and interest within more »

requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. Desirable: Experience in a similar industry with limited capacity and variable demand. Ability to autonomously tackle complex problems with a solution-driven approach. more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical analyses to more »

that internal and external guidance develops and maintains our pricing models and systems. As we transition to Python from Radar you will support the modelling team with the set-up and development of our new machine learning environment. This role is based in Bradley Stoke , working hybrid hours … days a week in the office and three days a week working from home. What you will do Statistical Modelling and Analysis Data Manipulation with SQL Presentation of MI, analysis and Insight to support decision making Research and apply new analytical and data science techniques Review alternative pricing initiatives … teams across RAC to further data science and analytical capabilities What you will need The successful candidate will have 1 - 2 years' experience building predictive models in a production environment using Python and be able to bring to life their previous experience on what and how they have created more »

informed choice making to improve the performance of the business Proactively working with business executives and various departmental heads to provide advanced analytic data modelling systems Designing and launching innovative and complex analytical models, utilising a blend of state-of-the-art and traditional machine learning techniques, which is … be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL … Experience bringing predictive models into a production environment Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data 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 »

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 »

Overall Objective: The Bioinformatician will be responsible for leveraging multi-omics data, with a focus on transcriptomics, proteomics and integrative omics, to build a predictive platform for safety assessment in drug development. They will play a crucial role in advancing our understanding of predictive safety markers and contributing … to the development of innovative predictive models. Responsibilities: Work closely with cross-functional teams to develop and implement computational strategies for analysing and integrating multi-omics data, with a specific focus on proteomics and other relevant omics datasets. Use statistical and machine learning approaches to identify predictive safety … markers and build robust predictive models for safety assessment in drug development. Contribute to the design and implementation of bioinformatics pipelines for processing, quality control, and analysis of multi-omics data. Collaborate with experimental scientists to interpret omics data in the context of safety assessment and provide actionable insights 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 »

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 analysis Working with clients closely to identify … as well as existing What 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 »

team intend for the role to become permanent. ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across forecasting and predictive modelling with large-scale healthcare datasets You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer 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 »

decisions to deliver better products, services 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. Duties Data Analysis and Exploration: • Utilize Dataiku and other analytical tools … and explore customer data from various sources. • Identify patterns, trends, and correlations within the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models … improve customer engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such 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 … behavioural, transactional, and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 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 more »

BettingJobs are currently recruiting for Quantitative Analyst for a leading sports betting syndicate based remotely in the UK. Responsibilities: Build and maintain predictive models from large sports datasets. Research and apply novel modelling techniques. Test model performance. The role will often involve using mathematical models to calculate the … of the sporting calendar, there will be the requirement to offer support outside regular working hours on occasion. Requirements: Experience using advanced statistics and modelling techniques - preferably in sports field. PhD or other post-graduate qualification in statistics. machine learning or another mathematical/scientific discipline (or equivalent experience more »

and dashboards to communicate insights effectively, preferably with experience in Excel and Power BI. Machine Learning: Understanding of machine learning algorithms and techniques for predictive modelling, classification, and clustering tasks. Database Management: Knowledge of database systems and SQL for querying, extracting, and manipulating data stored in relational databases. more »

or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »

a Data Scientist to join a growing team where you will be designing end-to-end solutions; from data ingestion and processing, to running predictive ML models, and serving outputs for consumption by the business. RESPONSIBILITIES Designing Machine learning models to be applied to financial market products. Working within … PhD degree in Computer Science or STEM subject Commercial Data Science experience Knowledge of statistics and common supervised machine learning algorithms. Time Series & probabilistic modelling experience is preferred. Experience in delivery of end-to-end machine learning models An interest in applying machine learning to financial markets. Unfortunately sponsorship … For more information, please apply here or send an up-to-date CV to morgan.beck@xcede.com Machine Learning, ML, Statistics, Python, SQL, Finance, Investment, Predictive modelling, Engineering, Financial modelling 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 »

complex data sets, Experience in developing visual reports, KPI scorecards, and dashboards using Power BI for any new Products and services, Experience in building predictive models and machine-learning, Knowledge of statistics and experience using statistical packages for analyzing datasets, Experience in data mining, Knowledge of R, SQL and more »

unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members more »

data products.  Evaluate business needs and objectives  Interpret trends and patterns  Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modelling  Build algorithms and prototypes  Combine raw information from different sources  Explore ways to enhance data quality and reliability  Identify opportunities for data 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 »

data products. • Evaluate business needs and objectives • Interpret trends and patterns • Conduct complex data analysis and report on results • Prepare data for prescriptive and predictive modelling • Build algorithms and prototypes • Combine raw information from different sources • Explore ways to enhance data quality and reliability • Identify opportunities for data more »