1 to 16 of 16 Predictive Modelling Jobs in the UK with Remote Work Options

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,C++, Java, SQL) Familiarity with Big Data frameworks more »

proficiency in Python, R, and MATLAB, Experience with data visualization tools such as Tableau, Power BI, or D3.js. Solid understanding of statistical analysis and predictive modelling techniques. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills to work effectively with more »

work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Predictive modelling for performance optimisation Analyse data to discover trends Provide clear, actionable recommendations based on insightful analysis Working with clients closely to identify … as well as existing What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience (AWS) The business operate on a hybrid working model and are in the office 3 days a week. 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 »

/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 »

a talented machine learning engineer to join the team and be part of the early journey of building a proprietary analysis tool based on predictive machine learning models that aim to identify attractive investment opportunities by valuing financial, environmental and social metrics. This is a broad role where you … roadmap together with the CEO, COO and Head of Engineering. Responsibilities Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Ensuring that algorithms generate accurate user recommendations Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving … a plus. You have advanced proficiency with Python, Java, and R code writing. You have extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. You have in-depth knowledge of mathematics, statistics, and algorithms. You have excellent analytical and problem-solving skills. You have communication more »

Power Station Schedule: Hybrid working pattern, approximately 1-year contract, starting as soon as possible Key Responsibilities: Provide analytical support for performance measurement and predictive modeling. Develop dashboards and analyze data related to video content and metadata curation. Partner with other teams/departments to define metrics, KPIs, and 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 »

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 - 2/ more »

dealing with uncertainty to develop 'robust' outputs on time You will need A-level Maths Grade A or above. Experience of insurance pricing or predictive modelling is desirable but not essential. Strong software skills (experience of Excel, SQL, Python or similar) are a bonus. In return, we offer 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 »

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 »

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 BENEFITS more »

assumptions and inputs for expenses, profit and capital into pricing models and production systems Internal monitoring of the Reinsurance Programme, and contribute to the modelling and assessment of future Reinsurance Programme considerations and parameters Ongoing analysis of Competitor UW activity and Market Developments Compiling timely and accurate information/… action loops, to enable the efficient and accurate operation of Underwriting Performance Monitoring and Assurance activities Creation and maintenance of analysis programs, tools, and predictive models written in SAS, RADAR, EMBLEM, Python/R and other software packages Experience & Qualifications: Experience with building predictive models using applications such more »

assumptions and inputs for expenses, profit and capital into pricing models and production systems Internal monitoring of the Reinsurance Programme, and contribute to the modelling and assessment of future Reinsurance Programme considerations and parameters Ongoing analysis of Competitor UW activity and Market Developments Compiling timely and accurate information/… action loops, to enable the efficient and accurate operation of Underwriting Performance Monitoring and Assurance activities Creation and maintenance of analysis programs, tools, and predictive models written in SAS, RADAR, EMBLEM, Python/R and other software packages Experience & Qualifications: Experience with building predictive models using applications such more »

to write modular, efficient, and well-documented code that can be adapted for use in production systems with minimal adjustments. Experience deploying and maintaining predictive models in production-level systems is advantageous. Experience fitting predictive and descriptive models to data using a variety of techniques and assessing model more »