26 to 50 of 147 Computer Science Jobs in Central London

Data Science Manager Up to £120,000 London (Remote/Hybrid) Company: Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead … and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex … both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and … smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by identifying opportunities and encouraging … to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills More ❯

translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large-scale … developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development More ❯

logistics exposure desirable but not essential. Track record: Successful delivery of complex system integrations (EDI/API) and customer‐facing web applications; exposure to AI/ML or data‐science‐driven products. Education: Bachelor’s in Computer Science, Information Systems, Engineering, or related field (Master’s preferred). Certifications: PMP, PRINCE2, or Agile/Scrum (CSM/ More ❯

seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering … Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer More ❯

scripting (PowerShell, Python, or Bash). Ability to work in a fast-paced, enterprise environment with multiple stakeholders. Strong problem-solving and analytical skills. Preferred Qualifications: Advanced degree in Computer Science, Information Technology, or a related field. Relevant certifications such as AWS Certified Database Specialty, Microsoft Certified: Azure Database Administrator Associate, or Oracle Certified Professional (OCP). Knowledge More ❯

technical solutions that enhance our business processes. Essential Skills & Experiences: • Minimum of 5 years of experience in Dynamics 365 and Power Platform development and customisation • Bachelor’s degree in computer science, Information Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge of C# .NET More ❯

have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead … just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages … product leads, and client stakeholders Experience with A/B testing and causal inference methodologies Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction More ❯

Collaboration: Excellent project management and organizational skills, with experience supporting and collaborating with cross-functional teams in dynamic and evolving settings. Education & Professional Background: Holds a graduate degree in Computer Science, STEM related quantitative field, with 5+ years of hands-on experience in a data engineering role. Tools & Technologies: Databases: Proficient in relational SQL databases. Workflow Management Tools More ❯

Collaboration: Strong project management and organizational skills, with experience supporting and collaborating with cross-functional teams in dynamic and evolving settings. Education & Professional Background: Holds a graduate degree in Computer Science, STEM related quantitative field, with 2+ years of hands-on experience in a data engineering role. Tools & Technologies: Databases: Proficient in relational SQL databases. Workflow Management Tools More ❯

Data Scientist – Leading Data Science & Analytics Firm (UK) Location: London (Hybrid) Sector: Data Science/AI/Machine Learning Salary: £65,000 + Benefits We are working with a rapidly growing UK-based data science company that leverages advanced AI and predictive analytics to deliver actionable insights across a range of industries. Their proprietary solutions are designed … engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting tools Ensuring compliance and ethical data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong … academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth environments (start-up/scale-up experience is a plus) Excellent communication skills and ability to work in multidisciplinary teams What More ❯

level support and solutions. Maintain high-quality documentation and drive a culture of knowledge sharing. Support and grow team capabilities through mentorship, leadership, and technical guidance. Requirements Degree in Computer Science or equivalent experience. Strong experience in full-stack development, particularly with C# and React. Proficient in Azure services and cloud deployment strategies. Skilled in CI/CD More ❯

Python or C# Strong front-end experience (React, Vue, Angular - your choice) Cloud architecture know-how (AWS, Azure, GCP - any flavour works) Solid understanding of relational databases Background in Computer Science, Engineering, Maths, or similar Experience in a start-up, greenfield, or high-autonomy team environment Passionate problem-solver with a bias for ownership and impact Bonus Points More ❯

environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related field. More ❯

and geographies Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. About the role and the skill set: A Data Scientist … at Sahaj should be able to interact with clients and help solve client problems. They should be conversant with problem solving, first principles thinking, data science model life cycle, metrics, and deployments. The model choices should be chosen based on accuracy requirements, the target operational environment and the latencies. The activity for a data scientist involves conceptualizing, formulating, coding … but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least More ❯

DATA SCIENTIST LONDON (HYBRID - 3 Days Per Week) UP to £60,000 COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. … Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL More ❯

instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. 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 More ❯

Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. 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 More ❯

code is clean, well-documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and 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 Senior C# Developer/Software Engineer you will earn a competitive package: Salary to £140k + More ❯

Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger org (eg start up like team incubated in larger 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 ❯

by identifying new and better technologies and tools; and leading ‘buy vs build’ analysis where required Skills/Qualifications Education Bachelor's/Master’s/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Technical Product Ownership Proven experience managing technical B2B SaaS products with a track record of driving meaningful technical More ❯

Data Engineer - Permanent As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs … teams to improve their data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree … in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring More ❯