10 of 10 Permanent Predictive Modelling Jobs in the Thames Valley

have the opportunity to take ownership of meaningful projects, work across multiple data sources and help build the foundations for more advanced analytics and predictive modelling. The Company The business operates a growing portfolio of care homes, supporting residents and their families through high-quality care services. With significant … operations. The business is transitioning towards a modern data platform using Snowflake, creating opportunities to develop new analytical capabilities, improve reporting and introduce predictive models that support both commercial and operational decisions. The Role Working closely with the Head of Analytics and a small technical team, you'll play ...

data infrastructure and building a scalable cloud-based platform to support future growth. Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you'll have the opportunity to influence strategy, shape solutions, and see your … create trusted records and improve data integrity Developing forecasting models to support business performance, resource planning, and operational decision-making Building machine learning and predictive analytics solutions across a range of business challenges Supporting AI-driven document processing and information extraction initiatives Creating insightful Power BI dashboards and reports ...

reconcile and integrate messy data from multiple systems using SQL, data pipelines and fuzzy matching techniques. Develop, test and improve machine learning models, including predictive and risk modelling. Explore AI applications to extract and validate information from documents, identify reliable data sources and automate processes. Support the integration … degree or postgraduate qualification in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline. Some practical experience with machine learning, AI or predictive modelling, gained through university projects or professional experience. Strong SQL skills and an understanding of data structures, data integration and statistical methods. ...

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 ...

undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: Build and maintain robust … create trusted, business-ready data assets. Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills & Experience Strong SQL and data modelling experience. Experience working with cloud data platforms, ideally ...

including classification, forecasting and inference. Experience with Power BI, Tableau or other visualisation tools. Knowledge of Medallion Architectures. Exposure to Machine Learning algorithms and predictive modelling. Why Apply? Opportunity to shape a new role. Working with a modern data and AI stack. Grow alongside an organisation - huge opportunity ...

across a range of operational and commercial functions. Working closely with senior stakeholders and the wider data team, you will be responsible for developing predictive models, uncovering actionable insights and helping the business leverage data to improve decision-making. You will have the opportunity to work with modern cloud … future direction of data and AI within the organisation. Key Responsibilities Design, develop and deploy machine learning models that deliver measurable business value. Build predictive analytics and forecasting solutions to support strategic planning and operational decision-making. Analyse large and complex datasets to identify trends, opportunities and areas ...

opportunity to join a PE-backed business building its data and analytics capability. You'll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team … solutions. The Role You will: Clean, transform, and prepare data from multiple sources Build and maintain data models within a cloud data platform Develop predictive models for workforce, occupancy, and operational forecasting Work with Snowflake or Databricks to support analytics and machine learning use cases Create features and datasets ...

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 ...

heterogeneous geoscience datasets. Develop methods that preserve geological realism, respect subsurface uncertainty, and improve the conditioning of geological models to available data. Validate predictive models using blind tests, real-world datasets, geological quality checks, and product-relevant scenarios. Collaboration & Innovation Work closely with geoscientists, software engineers, data scientists … product teams to turn research ideas into practical prototype workflows. Stay current with relevant advances in AI/ML, geoscience analytics, and subsurface modelling, and assess how they can be applied within Landmark workflows. Lead and contribute to technical presentations, publications, patent disclosures, and internal knowledge-sharing activities. QualificationsPhD ...