76 to 100 of 109 Predictive Modelling Jobs in the UK

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 »

Utilise advanced analytics, including proficiency in SQL, to analyse data and derive insights for continuous improvement in digital collections performance. Lead the creation of predictive models and segmentation strategies, optimising success rates for digital and human-assisted collections efforts. Implement test and control strategies for real-time adjustments, considering more »

Python testing. You'll be comfortable with AWS and all of the data services it comes with, redshift etc. You'll work with the predictive models and maintain them throughout. If you're interested in this contract opportunity then please let reach out to me! Experience needed for this … position (Please read carefully) Senior Machine Learning Engineer with over 5+ years of experience Python experience SQL experience AWS Redshift experience Predictive Modelling Clear and concise communication skills Senior Machine Learning Engineer Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA Approved Umbrella) Location: London more »

of working from home and office. What's involved? Managing a team of Pricing Analysts and Senior Pricing Analyst. Develop, validate, review and approve predictive and machine learning models. Lead the pricing strategy development process, including pricing optimisation and analysis. Conduct comprehensive market research to identify pricing trends and … Experience in insurance pricing or related analytical background. Highly skilled in the use of programming language e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. 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 »

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 »

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

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. The individual will assist with reviewing existing tools, applications, and processes to help strengthen 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 »

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 »

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 »

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 »

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 »

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 »

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 »

to help role out and align data initiatives within the business. These may span across marketing, commercial, product development, and customer experience Help deploy predictive models to help develop customer personalisation Spearhead the creation of actionable insights across the business Coach, develop and lead a growing team WHAT WE … a consumer tech business/environment (B2C) Previously driven change in a business and championed data initiatives Previously worked in customer personalisation and leveraged predictive analytics to enhance customer journey/marketing personalisation Exceptional communication skills with gravitas for handling C-suite stakeholders Able to be hands-on to … days, please take it as you have been unsuccessful on this occasion Desired Skills and Experience SQL, data visualisation, director of data, stakeholder engagement, predictive analytics, data science, data engineering, product management, product analytics, team management, leadership, data analytics, data analysis, Python 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 »

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 modeling solutions for current data and generating a model to help predict future outcomes. Requirements : A Computer Science/Programming Degree. SQL - Advanced Proficiency … Python - 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 and execute user retention strategies via CRM and product. Experience of large complex 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. Our … position 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 »

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 »