7 of 7 Remote/Hybrid Contract Data Scientist Jobs

Company description: Water Utility Company based in Yorkshire region of England. Job description: Apprentice Data Scientist (Degree) Hello! Thanks for stopping by. Let us tell you about all the great reasons to join our apprenticeship programme here at Yorkshire Water! We have an exciting opportunity an Apprentice Data Scientist to join the Central Control Team at Yorkshire Water and be a part of helping Yorkshire Water to provide the best service to our customers. Could this be you? Salary & Benefits Salary: £24,309 per annum Extras : Annual incentive bonus, 25 days holiday +bank holidays and wellness ...

Your new company One of the most influential Central Government Organisations in the current economic climate Your new role Data Scientist - SC Cleared - SQL, Python & R What you'll need to succeed My client is looking for an Analytical Data Scientist, leading/working alongside … team of data scientists to deliver key outputs for commissioned projects (use cases). You will also support the development of GSCIP through developing tools, data visualisations, and data available for analysis. You will have the opportunity to work on bespoke data science projects to improve ...

Position: Data Scientist Location: London, UK (Hybrid-2 days a week from office) 6 months contract position The Role In this role, you will uncover the insights and intelligence that help customers in dynamic, data intensive industries operate, scale, and innovate. You will develop robust, future ready … machine learning and analytical models that enable predictive insights, automation, and data driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and advanced statistical and AI frameworks, you will work closely with engineering, product, and analytics teams to build solutions ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments. Key Responsibilities: Develop … deploy machine learning models for anomaly detection Build proofs of concept (PoCs) to validate data science approaches Design and implement automated workflows and pipelines Work with large-scale datasets to extract insights and improve model performance Collaborate with cross-functional teams to translate business needs into technical solutions Required ...

months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About the Role … recruiting on behalf of a mobility technology business building intelligent fleet orchestration systems. This role suits an experienced Applied Machine Learning Engineer or Data Scientist comfortable working with messy real-world data, operational constraints, and production systems. Youll join a small, high-calibre team solving complex logistics ...

Senior Operations Research Data Scientist Contract | £600-£900/day | Hybrid London We are working with a major international transport and operations organisation building out a central AI and Data Science capability focused on solving complex operational optimisation problems across multiple business units. This is a hands … optimisation models. This role requires someone who has built optimisation or simulation solutions in real production environments. They are not looking for purely analytical data scientists or academic optimisation specialists. The successful candidate will be able to translate real-world operational problems into practical optimisation approaches and deliver working ...

months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About the Role ...