1 to 25 of 104 Predictive Modelling Jobs in the UK

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 »

Pricing Analyst sought for by our client who is seeking a candidate with experience working in a Non-Life Pricing role and has built predictive models with various software packages to join them as a Senior Pricing Analyst. An ideal opportunity for a candidate with strong systems experience of … Radar, Emblem, Python and SAS to join as a Senior Pricing Analyst. Responsibilities of Senior Pricing Analyst: Build predictive models using SAS, Radar, Emblem, and other software packages Lead and oversee research efforts aimed at enhancing retail pricing effectiveness Develop a cutting-edge strategy that propels the company's 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 »

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 »

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 »

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 »

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 »

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 »

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 »

/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 »

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 »

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 »

largest private healthcare providers. As a start-up with Series A funding, their team of fewer than 50 dedicated professionals focuses on advanced analytics, predictive modelling, and the development of cutting-edge solutions to revolutionise the healthcare industry. Their mission is to leverage AI to improve health outcomes … of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictive modelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and creatively. Experience in the healthcare industry is highly more »

to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate more »

forecasting solutions, specifically focused on the European Power Markets. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. JOB RESPONSIBILITIES: Market Data Analysis: Conduct comprehensive analysis of data related to the European Power 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++, Java, SQL) Familiarity with Big Data frameworks and more »

Hush to develop, maintain and draw insights from business intelligence solutions consisting of Google Big Query (Data warehouse), Domo (Visualisations), Snaplogic (ELT), and DBT (Modelling). Reporting into our Head of Technology, playing a critical role in our small Data Engineering team of 2, you’ll have the opportunity … Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime … value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress. more »

functionally to enable data-driven decision-making. Key Responsibilities - Champion data-driven decision-making agency-wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop more »

Engagement, which work closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize more »

diverse business challenges. Responsibilities: Dive into extensive and intricate datasets to gain comprehensive insights Extract, interpret, and communicate findings effectively with the team Develop predictive models using statistical and machine learning methods Validate and refine models for accuracy and applicability Stay updated on industry trends and advances in data more »

This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist, you will lead complex projects … data collection and pre-processing to model deployment and performance monitoring. Ensure scalability, robustness, and reliability of data science solutions. 2. Advanced Analytics and Modelling: Utilise statistical and machine learning techniques to analyse large, complex datasets and derive actionable insights. Develop predictive models for credit scoring, fraud detection … programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem more »

growth and performance. Providingbusiness-wide data driven people insight, including conclusions and recommendations, to inform strategy and action. Supportingthe delivery of strategic workforce planning, modelling and forecasting, aligning business plans with capability needs, identifying workforce gaps and predicting future impacts. Help to build plans to mitigate risk to future … growth. Driving insights capability development, developing advanced and predictive analytics capability and building insights capability in HR. Working with HR Systems and Operations to develop and implement people data strategy, and ensure appropriate data governance, compliance and integrity controls are in place. Leading the Workforce Planning & Insights team. Qualifications … practical application of data analytics, visualisation and reporting using various tools. Experience in PowerBI and Alteryx is desirable First-hand knowledge and application of predictive modelling and statistical methods (such as R or Python) is desirable. Broad and deep technical understanding of different analytics, tools and metrics and more »