1 to 25 of 2,266 Degree Jobs in London

documentation that meets audit requirements. Translate business questions into well scoped technical tasks and clearly communicate results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in More ❯

teams through complex technological and organisational transitions. Excellent problem-solving, analytical, and communication skills. Commercial and financial acumen, with understanding of operational impact on P&L. Qualifications Bachelor’s degree required; MBA highly desirable. Project/Programme Management certification (PRINCE2®, PMP, or equivalent). Agile or ITIL® certification preferred. Data analytics certification (Power BI, Tableau, or equivalent) advantageous. Change More ❯

teams through complex technological and organisational transitions. Excellent problem-solving, analytical, and communication skills. Commercial and financial acumen, with understanding of operational impact on P&L. Qualifications Bachelor’s degree required; MBA highly desirable. Project/Programme Management certification (PRINCE2®, PMP, or equivalent). Agile or ITIL® certification preferred. Data analytics certification (Power BI, Tableau, or equivalent) advantageous. Change More ❯

data governance and security best practices Top 3 must-have skills Business Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) Preferred Qualifications Master's degree in computer science, Information Systems, or related field AWS certifications (Solutions Architect, Data Analytics) Experience with real-time data processing Experience with version control systems (Git 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 ❯

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 ❯

Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience (AWS, Azure, or GCP). Experience implementing data management frameworks and operating models. Desirable: Master's degree or DAMA certification (CDMP).Proven expertise with Workday product and data integrations. Experience across different database architectures (Lakehouse, Relational, Document Store). Familiarity with observability tools, BI platforms (Power More ❯

testing and performance testing Some experience with AI tools (one of more of) Python, LLM(Large Language models), RAG, Langchain Set Yourself apart with: Bachelor's/Master's degree in Computer Science or related field Experienceof working on large scale, complex, and distributed applications in an Agile environment Experience in a consulting or client-facing role Strategy development More ❯

issues, debug and triage product failures, and help SRE/Dev Team in RCA and possible fixes. To Be Successful in The Role, You Will Have MS or B.S. degree in Computer Science or equivalent experience. 5+ years of experience in software test or QA test role. Experience in manual testing, including creating and running tests, identifying errors, and More ❯

queries, supporting sales and customer service teams with subject matter expertise. Essential Experience & Skills Minimum 2 years' experience in risk intelligence, financial services, regulatory compliance, or media monitoring . Degree or equivalent experience in Finance, Compliance, Business, Technology, or a related field . Experience in client engagement, consulting, marketing, or product management . Ability to understand and interpret global 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 ❯

solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R More ❯

solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R More ❯

solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R More ❯

solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R 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 ❯

Tableau and Quicksight Strong communication and stakeholder engagement skills Comfortable working in cross-functional teams and adapting to change Solid analytical skills with desire to learn and grow Desirable Degree in Computer Science, Engineering or related field Experience with JIRA, Confluence and modern delivery practices (CI/CD, DevOps) Exposure to data analytics tools (Python, R) and APIs Why 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 ❯

market data integration, costing incl. valuation) as well as end-user applications developments Take ownership in key projects improving the overall trade lifecycle management process About You: Master's degree in quantitative science (data, computer, engineering, mathematics incl. statistics) Analytical problem-solving skills and interest in learning new techniques including personal improvement 5 years object-oriented programming experience covering More ❯

Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on More ❯

a role We are keen to hear from candidates with the following: Postgraduation/PhD with substantial years' work experience as software developer/data scientist/AI engineer. Degree level in STEM, computer science, engineering, mathematics, or a relevant field of applied mathematics. Good understanding of Trading terminology and concepts (incl. financial derivatives), gained from experience working in More ❯