1 to 25 of 2,846 Degree Jobs in the UK excluding London

ability to work in fast-paced, evolving environments. Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights More ❯

technical solutions with business needs. Mentor junior engineers and foster a culture of continuous learning within the team. Skills/Qualifications Education: Bachelor's/Master's/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Experience: 5+ years of experience in data engineering or a related field. Strong expertise in data pipeline More ❯

collaborate across time-zones and adjust priorities as needed. Strong attention to detail, ensuring accuracy and precision in data analysis, project documentation, and business requirement gathering. A Bachelor's degree in a quantitative discipline such as Business, Economics, Marketing, Finance, Accounting, or Mathematics. Preferred qualification: familiarity with Python scripting, experience in executing and analyzing AB tests at scale. What More ❯

following specialisms: Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs and Ontologies, Data Governance and Compliance, or Deepfake Detection. Creating Python based applications and/or APIs. A degree in a field like data science, physics, computational science, mathematics, or statistics (though we value demonstrable experience just as much!). Location: Our Head Office is based in Salford More ❯

in mentoring or coaching others, with a desire to foster a culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment More ❯

in mentoring or coaching others, with a desire to foster a culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment More ❯

impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully More ❯

to ensure platform reliability. Driving complex, high-impact projects that advance Redwood's finance automation capabilities. YOUR EXPERIENCE The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. You should have over eight years of software development experience, with at least three to five years in a senior More ❯

and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial More ❯

team Accelerate delivery of key data projects through new 'ways of thinking' At least 4 years of experience in the Data Analytics space (preferably in a consulting context) University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent End to end knowledge of data warehouse and reporting processes Ability to identify and implement More ❯

team Accelerate delivery of key data projects through new 'ways of thinking' At least 4 years of experience in the Data Analytics space (preferably in a consulting context) University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent End to end knowledge of data warehouse and reporting processes Ability to identify and implement More ❯

model performance , flagging issues and iterating where appropriate Present findings clearly to technical and non-technical audiences to inform decision-making across teams What You'll Bring: Master's degree in a quantitative field (e.g. Mathematics, Physics, Engineering, Computer Science, Economics) Self-motivated with a researcher's mindset to tackle ambiguous challenges and drive solutions with minimal guidance Demonstrated 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 ❯

long-term technical direction by staying ahead of trends in distributed systems, Java ecosystem advancements, and personalisation technologies—and bringing these innovations into production. Requirements What Success Looks Like Degree in Computer Science, Engineering, or a related technical field. Experience in developing large-scale java systems. Extensive hands-on experience working with content from personalisation and recommendation engines. Familiarity More ❯

statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or equivalent experience. Desirable Postgraduate qualification in health informatics, data science, or related field. More ❯

Develop a clear workforce strategy, ensuring upskilling in digital pharmacy services. Ensure staff have access to training and development opportunities to enhance digital capabilities Person Specification Qualifications Essential MPharm Degree or equivalent, recognised by the General Pharmaceutical Council (GPhC). Full registration with the GPhC. Postgraduate qualification in Health Informatics, or Digital Health Leadership or equivalent. Extensive experience in More ❯

and public forums to enhance the visibility and reputation of the Computing discipline. Support marketing, outreach, and recruitment activities, including open days and external events. Person Specification Essential: Masters degree in Computer Science or a closely related field. Relevant teaching qualification (e.g. PGCert, PGCHE) or Fellowship of Advance HE (or willingness to obtain). Evidence of successful teaching and More ❯

implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Currently pursuing a degree in Computer Science, Engineering, Mathematics, Data Science, Economics, Business, Finance, or related fields Available for a 10-week internship from June 15 to August 21, 2026 Responsibilities The Banking More ❯

further, you should approach the contact given. In some cases, alternative working hours will be considered. We welcome applications from the Armed Forces. Person Specification Qualifications Essential Educated to degree level or equivalent experience Evidence of significant continuous professional development Desirable Formal project management qualification (e.g. PRINCE2, AgilePM, PMP) or relevant training Experience Essential Experience in project management for More ❯

environment. Solid grounding in Agile delivery, ideally with practical Scrum experience. Excellent analytical, problem-solving, and communication skills, with a drive to deliver reliable, high-quality systems. Bachelor’s degree in Computer Science (or similar). Experience in software development with C#, .NET, Vue.js, and SQL. More ❯

and scaling AI-enabled data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor with excellent communication skills. Bachelor's degree in Computer Science, Data Science, Business, or similar (Master's preferred). Why Join? You'll join a company that is global in reach yet grounded in purpose-committed More ❯

ensuring the successful delivery of projects. Contribute to the development of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus More ❯

your ideas to a wider audience Be a good problem solver Have strong time management skills, with the ability to juggle multiple projects at once Desirable: A bachelor's degree in a numeric subject (Mathematics, Statistics, etc.) or equivalent Experience working within credit risk/debt recovery industry Working knowledge of Python and/or R Experience with legal More ❯

Redpoint), MDM, and real-time data processing. Understanding of data privacy, consent management, and regulatory compliance. Excellent communication and stakeholder management skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer More ❯