1 to 25 of 2,016 Remote Degree Jobs in England

two hats - the data architect and the strategic business consultant - so you'll need to show both advanced technical acumen and a strong interest in business strategy. Requirements A Degree in a quantitative discipline such as computer science, engineering, statistics, or applied mathematics from a leading academic institution is preferred. 8+ years of experience in solution development such as More ❯

DNS and other network protocols. A strong desire to work things out – yes, Google it before asking for help, but always ask if (when) you get stuck! Requirements: University degree or equivalent experience in a relevant field (Computer Science, Electronics or Computer Engineering, Software Engineering, AI). Flexible working hours: some work has to be done outside of normal More ❯

DNS and other network protocols. A strong desire to work things out – yes, Google it before asking for help, but always ask if (when) you get stuck! Requirements: University degree or equivalent experience in a relevant field (Computer Science, Electronics or Computer Engineering, Software Engineering, AI). Flexible working hours: some work has to be done outside of normal More ❯

On-the-job: You will learn through daily interaction with your teams and clients. What You Will Need To Succeed Basic Qualifications Actively pursuing a full-time bachelor's degree or completing a master's program with a graduation date before June 2026 Ability to work 40 hours per week for the entire duration of the program Ability to More ❯

alongside experienced data scientists and engineers who will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and More ❯

alongside experienced data scientists and engineers who will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and More ❯

alongside experienced data scientists and engineers who will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and More ❯

alongside experienced data scientists and engineers who will help you grow. 🏢 Hybrid Flexibility – Balance remote work with collaborative days at our London office. What We’re Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and More ❯

data pipelines, time-series analysis, and data quality assurance. Knowledge of GIS tools and spatial analysis is a plus. Comfortable working in Agile environments with a continuous improvement mindset. Degree in a relevant technical field (e.g., Data Science, Engineering, Computer Science); certifications in cloud or data tools are advantageous. Experience in Python, SQL, and data visualisation tools (e.g., Power More ❯

data pipelines, time-series analysis, and data quality assurance. Knowledge of GIS tools and spatial analysis is a plus. Comfortable working in Agile environments with a continuous improvement mindset. Degree in a relevant technical field (e.g., Data Science, Engineering, Computer Science); certifications in cloud or data tools are advantageous. Experience in Python, SQL, and data visualisation tools (e.g., Power More ❯

and experience Certifications in relevant data and analytics technologies (e.g., AWS Certified Big Data Specialty, Snowflake, Microsoft Certified: Azure Data Engineer Associate) are desirable. Bachelor's or master's degree in computer science, information systems, or a related field. Strong influencing and negotiation skills. Who we are At RS we've been solving engineering problems for over 80 years More ❯

and experience Certifications in relevant data and analytics technologies (e.g., AWS Certified Big Data Specialty, Snowflake, Microsoft Certified: Azure Data Engineer Associate) are desirable. Bachelor's or master's degree in computer science, information systems, or a related field. Strong influencing and negotiation skills. Who we are At RS we've been solving engineering problems for over 80 years More ❯

if you bring some of the following. We're working with every team member individually to grow according to their needs and abilities. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated More ❯

code developments in the markets by supporting citizen developers in Pods and knowledge networks (Guilds). HOW YOU WILL SUCCEED IN YOUR ROLE Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: 6+ years of experience in software development. 3+ years of leadership experience and managing of teams. Experience leading agile teams More ❯

of data-driven solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization More ❯

up network across commercial data, pricing, and wider teams. Key Skills and Experience: Previous demonstratable Data Science/Analytics Experience in a business environment Strong maths/related science degree or demonstratable commercial experience Passionate and curious about data. Loves solving problems Strong communication skills and the ability to “story-tell” to our stakeholders and customers, making it relevant More ❯

up network across commercial data, pricing, and wider teams. Key Skills and Experience: Previous demonstratable Data Science/Analytics Experience in a business environment Strong maths/related science degree or demonstratable commercial experience Passionate and curious about data. Loves solving problems Strong communication skills and the ability to “story-tell” to our stakeholders and customers, making it relevant More ❯

of data-driven solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization More ❯

of related Software Engineering Experience within a Full Stack environment working with key technical skills within C# , ASP.NET MVC, SQL , Front End Dev Tools, Azure, JavaScript etc. A BSc Degree in Computer Sciences is preferred. Highly mathematical minded with an interest, or related experience, in the FinTech space Strong communication skills both verbally and written Strong analytical thinking, problem More ❯

of related Software Engineering Experience within a Full Stack environment working with key technical skills within C# , ASP.NET MVC, SQL , Front End Dev Tools, Azure, JavaScript etc. A BSc Degree in Computer Sciences is preferred. Highly mathematical minded with an interest, or related experience, in the FinTech space Strong communication skills both verbally and written Strong analytical thinking, problem More ❯

of data-driven solutions to address business challenges. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. Strong analytical and problem-solving skills with a keen attention to detail. Basic knowledge of data visualization More ❯

of related Software Engineering Experience within a Full Stack environment working with key technical skills within C# , ASP.NET MVC, SQL , Front End Dev Tools, Azure, JavaScript etc. A BSc Degree in Computer Sciences is preferred. Highly mathematical minded with an interest, or related experience, in the FinTech space Strong communication skills both verbally and written Strong analytical thinking, problem More ❯

attention to detail. Excellent interpersonal and communication skills to assist non-technical users effectively. Ability to handle sensitive company information with confidentiality and professionalism. Preferred skills and qualifications Bachelors degree (or equivalent) in Computer Science, Information Technology, or a related field. Familiarity with scripting or programming languages (e.g., Python, PowerShell) for automation and troubleshooting. Experience with IT project management More ❯

risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to translate data insights into actionable business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it More ❯

enhance system reliability and performance. Mentorship: Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous improvement within the engineering team. Skills and Experience: Bachelor's degree in computer science, Engineering, or equivalent practical experience. Proven work experience as a Site Reliability Engineer, DevOps Engineer, or in a similar role within a high-availability environment. Strong More ❯