51 to 75 of 85 Predictive Modelling Jobs in the UK

periods 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 SPM and other team members in a transparent environment, specifically collaborating across 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 »

the economy. Collaborate with product owners, marketing managers, UX/UI designers, analytics teams, data scientists, and development teams. Build and analyze simulations and predictive models to proactively forecast the results of changes to content. Requirements 4+ years’ experience in game economy design Bachelor’s Degree in Economics, Mathematics more »

a proven track record of managing end-to-end projects , a knack for communicating complex technical concepts to non-technical stakeholders , and expertise in predictive modeling, segmentation , and AI , we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks … data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A … of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped more »

a proven track record of managing end-to-end projects , a knack for communicating complex technical concepts to non-technical stakeholders , and expertise in predictive modeling, segmentation , and AI , we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks … data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A … of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped more »

a proven track record of managing end-to-end projects , a knack for communicating complex technical concepts to non-technical stakeholders , and expertise in predictive modeling, segmentation , and AI , we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks … data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A … of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped 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 »

strong background in quantitative finance and excellent programming skills in Python. Responsibilities: Analyse large data sets using statistical techniques Conduct macro analysis and build predictive models Research and develop quantitative trading strategies across FI, FX and commodities Build tools for systematic trading Requirements: PhD or Master's degree in more »

advanced statistical and machine learning techniques to analyze large datasets related to IT service management, incident management, change management, and other ITIL processes. Develop predictive models to forecast IT service performance, identify potential issues before they occur, and optimize resource allocation for IT support and infrastructure. Monitor key performance more »

assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modeling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address them. Data Governance: Establish and enforce data … requirements, and industry best practices. Strong technical proficiency in data modeling, SQL, ETL tools, data visualization tools, and advanced analytics techniques (e.g., machine learning, predictive modeling). Excellent leadership, communication, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization. Demonstrated experience 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 »

make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with more »

make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with more »

make a lot of progress in the applications around Data Science and Machine Learning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize machine learning techniques to anticipate trends and inform strategic decisions Collaborate closely with more »

play a pivotal role in shaping their data strategy. The ideal candidate will collaborate closely with cross-functional teams to solve complex problems, build predictive models, and drive innovation through data-driven approaches. Responsibilities : Analyse large, complex datasets to extract valuable insights and identify trends/patterns. Develop and … effectively to both technical and non-technical audiences through reports, presentations, and visualisations. Interpret field and laboratory sensor data for detection and prediction. Create predictive models from scratch to reinforcing the learning. Qualifications : Bsc, Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Proven 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 »

health software that will help detect patient signals of early onset of diseases and deterioration. As the successful candidate, you will get to develop predictive models from longitudinal datasets and perform machine learning experiments on clinical datasets. You will get to work with some of the most innovative tools 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 »

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 »

the charity sector, looking to shape their data and analytics strategy THE ROLE Identify opportunities, provide strategic direction and prioritise projects across teams Develop predictive models and forecasting tools, looking at trends and user behaviour Build and lead a strong analytics team YOUR SKILLS AND EXPERIENCE Strong leadership/ more »

of Technical Lead. You'll be responsible for architecting, designing, and developing cutting-edge solutions in Mobile, Web, and Tooling, driving financial insights and predictive models, and improving the effectiveness of financial services. Your responsibilities include overseeing the technical development and delivery of products that align with the product more »

data privacy laws are meticulously upheld. We are in pursuit of visionary individuals with a zest for navigating the intricacies of customer behavior analytics, predictive modeling, and powerful communication strategies. If you possess a fervent interest in data and aspire to be at the vanguard of technological advancement, all more »

Job Identification 210492464 Job Category Predictive Science Business Unit Corporate & Investment Bank Posting Date 26/02/2024, 16:53 Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time JOB DESCRIPTION As an Applied AI ML Lead - Vice President in the … leading AI team. You will have the opportunity to advance the state of the art in financial applications, ranging from generating business intelligence to predictive models and automated decision making. You will work closely with our Markets Operations team, applying AI techniques to answer questions relevant to their operations. 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 »

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 »