51 to 75 of 146 Computer Science Jobs in Central London

+ Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team … leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights … to technical and non-technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise More ❯

North London (2 days per week) Company: Join the UK’s leading provider of family seaside breaks, with over 40 award-winning holiday locations. You will join a Data Science team that’s helping shape the future of holidays, from optimising guest experiences and pricing strategies to streamlining operations and personalising marketing. Responsibilities: Apply traditional statistical techniques and mathematical … concepts to business problems. Build and maintain advanced decision science algorithms and tools. Present data insights to stakeholders in a clear and concise manner. Stay up to date with the latest industry trends and technologies. Contribute to analytics innovation and integration within the organisation. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or … related fields. Strong coding skills in Python and SQL Experience in automation and optimisation/pricing-related projects A generalist data science background, comfortable working across different domains and problem types Strong commercial acumen **Please note that this role does not offer visa sponsorship** How to Apply: Please register your interest by sending your CV to Emily Burgess via More ❯

and integration potential of new AI solutions. - Maintain expertise in the field, with a particular focus on the scientific evidence supporting emerging AI technologies and their applicability to healthcare. • Science-Based Innovation: - Partner with leading research institutions, universities, and technology providers to conduct joint due diligence on promising AI vendors and technologies, and to explore opportunities for collaborative research … a holistic approach to AI implementation across diverse areas of the organization to make better decisions. Minimum Qualifications: - Ph.D. or equivalent doctoral degree in a relevant field, such as Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, Bioinformatics, or a related discipline. - 10+ years of experience in AI-related research and development, with at least 5+ years … track record of translating scientific research into practical applications and strategic recommendations in a healthcare setting. - Strong understanding of various AI techniques (machine learning, deep learning, natural language processing, computer vision, etc.). - Demonstrated experience in translating research insights into practical applications with measurable real-world impact. - Excellent communication and presentation skills with the ability to effectively communicate complex More ❯

and maximise the value of their customer base. Responsibilities: Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders … to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Communication skills – able to translate complex insights into business value Strong experience with clustering, time-series forecasting, and regression techniques. More ❯

Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced … collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

/C# investment banking application that will be the envy of the industry. We are seeking several passionate Graduate .NET Developer who have recently graduated with a degree in Computer Science (or a related subject) and have a basic understanding of the .NET framework (.NET, .NET Core/ASP.NET MVC, C# or C#.NET winforms) and Azure SQL. Our More ❯

classes e.g. Fixed Income, Equities You're familiar with RESTful APIs, UI development and cloud computing You have excellent communication and stakeholder management skills You're degree educated in Computer Science or similar discipline What's in it for you: As a C# Software Engineer/Developer you will earn a competitive package: Salary to £140k + bonus More ❯

from concept through to launch. Focus on how app integrates across entire system i.e. full stack. Experience in a start-up environment. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. Deep understanding of React Native and its core principles. Prior experience with iOS and Android platforms, having a deep More ❯

WFH: You'll be joining a friendly and supportive team in London with flexibility to work from home one day a week. About you: You are degree educated in Computer Science, from a top tier university (e.g. Russel Group, Oxbridge) You have Typescript experience combined with strong React and React Native skills You're proficient with HTML5 and More ❯

scalable and resilient cloud-native platform (Azure) Maintain and improve data pipelines, ensuring data quality and integrity. Requirements : Bachelor’s or Master’s degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.5–3 years of experience in machine learning engineering or research. Strong coding skills in Python and working knowledge of SQL and cloud platforms More ❯

data validation and reconciliation processes Perform other duties as assigned - prepare succinct, clear, and easy to follow documents that summarize findings and insights Minimum Qualifications Bachelor's degree in computer science, Mathematics, Economics, Statistics, or related field 8+ years of professional experience Strong Proficiency in SQL, MS Office Suite, particularly Word, Excel, and PowerPoint Ability to work independently More ❯

+ Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team … leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights … to technical and non-technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise More ❯

that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live environments. Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial More ❯

to run them) Clear communicator across tech and non-tech teams Awareness of data drift and model monitoring Amazing visualization skills; ideas need to land Bachelor's degree in computer science, Mathematics, Statistics, or related field Bonus points for Credit card or consumer finance experience Exposure to deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master’s in Data … Science or similar What’s on offer Up to £75k depending on experience Bonus scheme + private medical 25–30 days holiday + birthday off Hybrid working (London) Enhanced family-friendly policies Great culture, real impact No sponsorship available #datascience #fintechjobs #creditrisk #consumerfinance #ml #ethicalfintech #hiring #behaviouralmodelling #pythonjobs #datatechjobs More ❯

strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL … to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role More ❯

initiatives to shape the long-term scientific vision. Own and actively contribute to the design and development of internal machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building price optimisation models Stay up … to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer Science, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role does not offer visa sponsorship** How to Apply 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 ❯

will help bring advanced analytics capabilities into one of McKinsey’s flagship products, named "Wave", and your work will contribute to adapt the way McKinsey runs Transformations, leveraging data science assets, to improve the odds of success for our clients. In this role, you will be typically involved in following tasks: Data exploration: you will contribute to improve quantity … stakeholders to create new insights leveraging the latest and greatest data from our data set, including the recent outputs of our LLM classifying system. Qualifications Bachelor's Degree in Computer Science, Information Technology, Business Administration, or a related field is typically required. Professional certifications such as Certified Business Analysis Professional (CBAP) or Project Management Professional (PMP) are advantageous. More ❯

Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities: Be part of a fast-growing company with ample opportunities More ❯

systems development in the past. Responsibilities and Duties • Codes, tests, integrates, and documents software.• Provides technical leadership to more junior employees and other teams.• Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products.• Participate as a Subject Matter Expert in internal review of software components and systems.• Work on the More ❯

candidates. The Client will consider someone junior with an ability to learn and hit the ground running at £25K - £30K. You will have a 2:1 in maths or computer science, or similar. The company is based in the City of London. Please send your CV to us in Word format along with your salary and availability. More ❯

coverage, which include responding to security incidents, performing containment and forensic investigations. What You Will Need to Succeed in This Role BS/BA degree in Cyber Security/Computer Science or equivalent combination of related work experience desired. Must have a good Linux background, ideally Linux Sys Admin CISSP, CISM, GCIA, GCIH, GCFE, GCFA, GREM, Splunk Power More ❯

technical troubleshooting, performance optimization, and data-driven decision-making. Ability to thrive in a fast-paced, agile environment and manage complex technical and product priorities. Bachelor’s degree in computer science, engineering, or a related technical field; advanced degree or MBA is a plus. More ❯

plans testing Carry out research on new technologies and products, carrying out technical solution design for the continuing development of IT Centre Person specification Degree educated in Information Technology, Computer Science, Software Engineering or other equivalent Certificate in SSCP, MCSA, RHCE, CCNP is preferred Experience in system administration (e.g. Windows Server, Linux) Experience in virtual technology products (e.g. More ❯

and contribute to the overall design of the system. • Develop automated tests and conduct performance tuning • Contribute to code reviews Key qualifications • Bachelor's degree in a technical field, computer science, software engineering or similar. • 10+ years’ experience in software development, spanning backend, web frontend and large scale systems • In-depth knowledge of Angular, React or NextJS, including More ❯