8 of 8 Remote/Hybrid Predictive Modelling Jobs in the Thames Valley

Knowledge of process and discrete industriesProficiency in data analytics tools and programming languages such as Python, R, and SQL.Familiarity with advanced analytics techniques including predictive modeling and machine learning. ABOUT HONEYWELL TECHNOLOGIESHoneywell Technologies International Inc. invents and commercializes technologies that address some of the world's most critical challenges ...

following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. ...

join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a junior contributor, you will work on a variety of data-driven projects … help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering ...

support to delivery, and application of advanced analytics and machine learning implementations Professional experience in a Data Scientist role, applying machine learning, statistical modelling or advanced analytics to real business challenges Strong Python and SQL skills, with experience building and evaluating models A degree in Data Science, Mathematics, Statistics … where data science can create measurable business value. Your responsibilities will include: Applying machine learning, AI and advanced analytics techniques to operational challenges Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers, risks and opportunities Translating complex analysis into ...

recommenders, embeddings and semantic retrieval, and real-time features — the models that drive discovery and conversion at scale. Lead data science and experimentation. Own predictive modeling, causal inference, and the experimentation platform and standards — A/B testing, guardrail metrics, and rigorous measurement of incremental business impact ...

Technologies seeks a Data Scientist I to join our global team. You will analyse complex datasets, build predictive models, and support decision-making for diverse clients, including retail and energy brands, across real‐time insights and insights-driven decisions. As a junior contributor, you will collaborate with data engineers ...

services. You will collaborate with analysts and traders to develop market forecasts and productionise models. You will engineer features from complex datasets, build scalable predictive models, visualize insights for quick risk decisions, and help automate trading workflows. We offer a hybrid work model and strong development opportunities. #J ...

Developing market forecasts for our trading teams, who trade the wholesale electricity and ancillary service markets in GB Building, prototyping, testing, and scaling parallelised predictive models to forecast electricity market prices, volumes and value across wholesale and ancillary markets Cleaning complex datasets, engineering high-value temporal features, and accounting … this topics Working with tech teams to source data to underpin your work and help them productionise your applications Preferred Technical Skills Time-series modelling (ARIMA, SARIMA, etc.) and - Tree-based & gradient boosting models (XGBoost, LightGBM, NGBoost) Expertise/knowledge of internally stored data & data consumers as well ...