76 to 100 of 104 Predictive Modelling Jobs in the UK

on their cloud based GIS tool with a focus on data processing, data engineering and database management. You will be supporting in deploying complex predictive models that their analyst team builds for clients into their cloud based GIS tool. £50-60k basic salary + benefits Hybrid working 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 »

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 »

Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities Building and testing … be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes Providing technical support and be a resource to internal partners in Product, Technology more »

the environment. In this newly created role, you will have full ownership of the full-stack environment. You'll work on a global water predictive modelling platform utilising Vue3, Nest, and PostGIS within Docker on AWS EC2. Your focus will be on optimising and evolving cloud infrastructure, with 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 »

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 or call me on 02045522114 AMRT1_UKTJ ... 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 »

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 »

of extending) Start: ASAP Location: Remote (Candidates Must be in United Kingdom) Position Type: Freelance/Contract/B2B Summary: We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing … analytical skills, and the ability to translate complex data into actionable insights. How You’ll Make an Impact You will be responsible for: Develop predictive and probabilistic models to assess risk factors, including financial, operational, market, and technical risks. Communicate complex analytical concepts and findings in a clear and … You Bring (Skills, Capabilities) 5+ years of experience in data science, risk assessment, or a related field. Proven track record of developing and deploying predictive models and analytical tools. Experience with probabilistic modeling and risk management techniques. Experience in risk management or project management is highly desirable. Proficiency in more »

involves significant scientific discovery in AI and/or other scientific domains like health and medicine, physics, biology etc. Experience delivering solutions such as predictive models in domains where harnessing sensitive data ethically is core to the impact of the AI. more »

data-driven decision-making across various aspects of the business, from supply chain optimisation to consumer insights. This role involves analysing large datasets, developing predictive models, and providing actionable insights to improve their products and services. This is a fully remote role but you must be able to work … Key Responsibilities: Analyse large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow … and infrastructure support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL 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 »

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 »

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 »

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 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 »

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 »

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 »

company’s retail pricing team. You will be in charge of leading and coordinating research to improve retail pricing performance by optimising, generalised linear modelling, and non-linear methods to drive growth within the business. THE COMPANY This company is an innovative, market-leading insurance company. Their underwriting skills … as they are currently undergoing growth. THE ROLE You will be doing the following daily: Apply mathematical and statistical techniques, like optimisation, generalised linear modelling, and non-linear methods. Build predictive models, using SAS, radar, and emblem. Manage rate changes, through data encrichment, and implementation of new models … SKILLS AND EXPERIENCE Experience in a data-focused role. Knowledge of R, Python, or SAS is essential. Knowledge of Radar is beneficial. Experience in predictive modelling. Strong written and verbal communication skills. Strong numerate degree from a Russel group University. Previous pricing experience in the insurance space. # THE 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 »

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 ideally R. • 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 … integration techniques to ensure that data is accessible and reliable. • 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. If this role is 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 »