201 to 225 of 944 Computer Science Jobs in Central London

critically and creatively. Experience in high-pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Personal projects are a key differentiating factor and hold more weight than other requirements. Compensation & Benefits Competitive salary More ❯

agile development principles and practices. Examples include Scrum, Kanban, Nexus, SAFe, LESS and DSDM. This is backed up by a strong academic record, typically achieving 2.1 or above in Computer Science at degree and/or post-graduate studies. Client-focused, positive, creative and driven to work collaboratively to find the right technology solution for our client's More ❯

agile development principles and practices. Examples include Scrum, Kanban, Nexus, SAFe, LESS and DSDM. This is backed up by a strong academic record, typically achieving 2.1 or above in Computer Science at degree and/or post-graduate studies. Client-focused, positive, creative and driven to work collaboratively to find the right technology solution for our client's More ❯

vendor management skills. Ability to manage multiple projects simultaneously in a fast-paced environment. Relevant certifications (e.g., PMP, PRINCE2, ITIL, or Agile/Scrum) preferred. Bachelor’s degree in Computer Science, IT, Engineering, or a related field. What you'll get in return: Training and development through our Imperial London Hotels Academy Access to fully funded apprenticeships (subject More ❯

vendor management skills. Ability to manage multiple projects simultaneously in a fast-paced environment. Relevant certifications (e.g., PMP, PRINCE2, ITIL, or Agile/Scrum) preferred. Bachelor’s degree in Computer Science, IT, Engineering, or a related field. What you'll get in return: Training and development through our Imperial London Hotels Academy Access to fully funded apprenticeships (subject More ❯

between concurrent projects and broader business initiatives Promote continuous improvement and drive innovation Ensure digital solutions are secure, scalable, cost-effective, and user-centric Candidate Profile Degree in Business, Computer Science, Engineering, or a related field (or equivalent professional experience) Strong background in digital programme and project delivery Demonstrated experience managing complex digital projects across platforms Proven ability More ❯

drive a clear roadmap in collaboration with Portfolio and IT managers. • Ensure testing operations remain uninterrupted, mitigating risks and adapting to evolving business needs. Mandatory Skills & Experience: • Degree in Computer Science or a related field. • 12+ years of experience in quality assurance with a strong focus on test automation and team leadership. • Deep experience with Agile testing methodologies More ❯

drive a clear roadmap in collaboration with Portfolio and IT managers. • Ensure testing operations remain uninterrupted, mitigating risks and adapting to evolving business needs. Mandatory Skills & Experience: • Degree in Computer Science or a related field. • 12+ years of experience in quality assurance with a strong focus on test automation and team leadership. • Deep experience with Agile testing methodologies More ❯

with a hands-on approach and strong leadership acumen . Experience in financial services or asset management domain is a plus. Bonus: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PMP/PRINCE2/ITIL v4 certifications are highly desirable. Familiarity with cloud platforms (Azure, AWS, or GCP) and hybrid infrastructure environments. More ❯

with a hands-on approach and strong leadership acumen . Experience in financial services or asset management domain is a plus. Bonus: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. PMP/PRINCE2/ITIL v4 certifications are highly desirable. Familiarity with cloud platforms (Azure, AWS, or GCP) and hybrid infrastructure environments. More ❯

third-party vendors. Soft Skills: communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar, the diversity of our employees provides a richer environment for our employees and broader depth and More ❯

vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent More ❯

vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent More ❯

business needs and translate them into application and operational requirements - Good work ethic, with a focus on meeting deadlines and objectives Specific Experience and Qualifications - Undergraduate level knowledge of computer science fundamentals - Track record of successfully delivering software development projects - Experience supporting live systems - Experience in financial risk system in investment banking - Experience in the latest data platforms More ❯

business needs and translate them into application and operational requirements - Good work ethic, with a focus on meeting deadlines and objectives Specific Experience and Qualifications - Undergraduate level knowledge of computer science fundamentals - Track record of successfully delivering software development projects - Experience supporting live systems - Experience in financial risk system in investment banking - Experience in the latest data platforms More ❯

you’ll bring: You are an analytical problem solver, innovative and able to operate in a sophisticated technical and operational environment with an undergraduate degree or equivalent experience in computer science or related degree. You have worked in a global technology organisation for over 10 years with a network or software engineering background, ideally in financial services with More ❯

you’ll bring: You are an analytical problem solver, innovative and able to operate in a sophisticated technical and operational environment with an undergraduate degree or equivalent experience in computer science or related degree. You have worked in a global technology organisation for over 10 years with a network or software engineering background, ideally in financial services with More ❯

Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. … know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. You will leverage … machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions in real-world HR scenarios. Participate in regular team meetings and present findings and recommendations to stakeholders. Stay updated with the latest trends and advancements in data science More ❯

Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. … know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. You will leverage … machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions in real-world HR scenarios. Participate in regular team meetings and present findings and recommendations to stakeholders. Stay updated with the latest trends and advancements in data science More ❯

ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. … This would be a great opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team … hands-on where needed, guiding model design, code reviews, and architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. More ❯

+ Fantastic Benefits Hybrid working | Leading Tech Company | Cutting-Edge Projects I'm working with an exceptional tech client based in London who are looking to hire top-tier Computer Science graduates into their Graduate Software Engineer programme. This is a fantastic opportunity to kick-start your career at a company that truly invests in its engineers and … shine. There’s a structured training programme , mentorship from senior engineers, and plenty of opportunities to make an impact early. What They’re Looking For 1st Class BSc in Computer Science (or related degree) from a top UK university – e.g. Oxford, Cambridge, Imperial, UCL, etc. Passion for technology and software development, whether you code in Python, JavaScript, Go More ❯

+ Fantastic Benefits Hybrid working | Leading Tech Company | Cutting-Edge Projects I'm working with an exceptional tech client based in London who are looking to hire top-tier Computer Science graduates into their Graduate Software Engineer programme. This is a fantastic opportunity to kick-start your career at a company that truly invests in its engineers and … shine. There’s a structured training programme , mentorship from senior engineers, and plenty of opportunities to make an impact early. What They’re Looking For 1st Class BSc in Computer Science (or related degree) from a top UK university – e.g. Oxford, Cambridge, Imperial, UCL, etc. Passion for technology and software development, whether you code in Python, JavaScript, Go More ❯

than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very … Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this More ❯

Data Scientist to join a leading FMCG Brand, Initial 12 month contract + opportunity to extend long-term. This is an exciting opportunity to join a high-performing Data Science team focused on advancing marketing effectiveness through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and … SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation More ❯

Data Scientist to join a leading FMCG Brand, Initial 12 month contract + opportunity to extend long-term. This is an exciting opportunity to join a high-performing Data Science team focused on advancing marketing effectiveness through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and … SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation More ❯