76 to 100 of 100 Permanent Predictive Modelling Jobs in the UK

salary I'm currently working with a leading Sports Research and Technology company, on a search for a Quantitative Modeler with experience in basketball predictive modelling to join their team. The successful candidate will work extensively on probabilistic models. Looking for: Previous quantitative modelling in basketball Quantitative 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 »

a supportive environment. Your Responsibilities: Assist in the development and implementation of quantitative models and strategies, with a focus on time series forecasting and predictive modelling. Conduct data analysis and interpretation to derive actionable insights. Collaborate with team members to perform research and analysis on financial markets and investment … problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. Knowledge of statistical techniques and quantitative methods, including time series forecasting and predictive modelling. Excellent communication skills and ability to work collaboratively in a team environment. Prior internship or work experience in finance, quantitative analysis, or a more »

to redefine the future of marketing through the power of data and technology? As a Senior Data Scientist, you'll design, build and implement predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Designing and predicting models to optimise … Opportunity to contribute to new & existing business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience more »

our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. … holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT more »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … CIMA is preferred. Data Expertise: You should be adept at synthesising complex data sets, extracting meaningful insights, and providing actionable recommendations to stakeholders. Advanced Predictive Modeling: Proficiency in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making more »

to redefine the future of marketing through the power of data and technology? As a Senior Machine Learning Engineer, you'll deploy and productionise predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Deploying and productionising models to optimise … best-in-class models, measurement and reporting We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems more »

improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings, risks, and recommended more »

improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings, risks, and recommended more »

R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictive modelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV in order more »

or a related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of more »

Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

/s to help grow and develop the Data environment. Skills & Experience: · Highly organised and has experience in running projects. · Highly competent with MSSQL · Predictive modelling · Machine learning · Version Control, CI/CD, Python, Base SAS & Power BI (desirable) Package: · Up to £65,000 basic salary · Bonus opportunity more »

complex business rules, and dashboards in Anaplan. Seamlessly integrate data sources with Anaplan through various methods. Utilise advanced formula writing for accurate forecasting and predictive modeling. Ensure accurate tracking and management of model changes through version control practices. Design intuitive and visually appealing dashboards in Anaplan. Provide training, support more »

charity role. The Role Your day-to-day will be varied looking at, Data Strategy development, Leadership, cross-functional collaboration, Performance Measurement, Product Performance, Predictive Modelling, Technology Evaluation, and Budgeting and resource allocation. Sound like the challenge you are looking for, with a direct line to the Marketing more »

with deep technical skills, but who is really motivated by making an impact on our business and our customers. Responsibilities: Build, implement and monitor predictive models which help us accurately understand the level of credit risk of the merchants our partners are serving/insuring, Develop creative solutions and … SQL is essential , 3-5+ years experience in consulting and/or start-up environments related to the financial services industry, Credit risk modelling experience including building probability of default models is required (doing so for SME/commercial lending preferred but not essential) LLM experience would be more »

of advanced analytics solutions to derive actionable insights from data using statistical methods and machine learning models. Apply knowledge of Python and machine learning modelling, leveraging environments such as ML Studio for machine learning and predictive modelling projects. Collaborate with cross-functional teams to integrate advanced analytics more »

and support decision-making. Collaborate with teams to manage client performance. Drive growth initiatives. Provide analytical support using SAS, Dataiku, and Power BI. Develop predictive models. Plan and forecast premium. Ensure data integrity Insurance industry is a MUST. Email me on (see below) or call me more »

senior leaders within the business to define, scope out and develop data science and machine learning systems. These web applications will be based on predictive models with integrated analytics tools that drive customer decision-making, potentially saving them hundreds of thousands of pounds. A large part of your role more »

/s to help grow and develop the Data environment. Skills & Experience: Highly organised and has experience in running projects. Highly competent with MSSQL Predictive modelling Machine learning Version Control, CI/CD, Python, Base SAS & Power BI (desirable) Package: Up to £85,000 basic salary Bonus opportunity more »

of our talented colleagues. We're looking for an Actuarial Analyst to assist in the identification and creation of cutting-edge data assets and predictive models that feed into Hastings' market-leading pricing activities. Our Actuarial Analysts apply innovative predictive modelling techniques to solve real-world business … closely with and learning from recognised experts in designing and implementing market leading insurance solutions across multiple product lines. We're passionate about data, modelling and innovation and this role will give you the opportunity to work alongside talented analytical experts and senior leaders. They will support, guide, and … the Institute and Faculty of Actuaries. (IFoA) or equivalent professional body recognised by the IFoA's mutual recognition agreement. 1-3 years experience building predictive models in an insurance environment. Keen interest in emerging ML techniques and their commercial value. Proficiency in SQL and experience using Python or R. 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 predictive modelling 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 »

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, predictive modelling 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, predictive modelling 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 »