426 to 450 of 3,055 Computer Science Jobs in the UK

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio … companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll 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 the design, development, and deployment of predictive and optimisation models across multiple industries Own More ❯

be highly numerate: able to confidently interpret data and apply statistical tests to draw robust conclusions. Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science Knowledge of applying measurement to media campaigns through Meta/Google, particularly brand lift studies E xperience in analytics , measurement, data science, or More ❯

role in developing and enhancing our innovative supply chain solutions. You'll collaborate closely with a talented team of passionate engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop … apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks … regardless of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with More ❯

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 experience building models with deep learning frameworks like More ❯

key performance indicators (KPIs). Work closely with data engineers to ensure data accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in More ❯

key performance indicators (KPIs). Work closely with data engineers to ensure data accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelor’s or master’s degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in More ❯

AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to life quickly Degree in Computer Science, Data Science or similar The ability to lead client demos and presentations Both technical competence and commercial awareness Salary & benefits: £45 - 100k (dependent on experience) Hybrid More ❯

making. You will have a strong understanding of data integration and be confident working with integrated software systems. Ideally but not necessary, you will also hold a degree in Computer Science, Data Science, Information Systems, or a related discipline. Experience of delivering Power BI reporting solutions within a further education (FE) environment would be a distinct advantage. More ❯

Sensu, Jenkins, or other CI/CD tooling. An understanding of the responsibilities of a system administrator (e.g. networking, filesystems, environment management). Relevant qualifications: e.g. a degree in Computer Science/Computer Engineering/equivalent subject, or systems administration certification such RHCSA/RHCE, etc. A demonstrable contribution to an open source project. More ❯

and active engagement with industry consortia such as Pistoia Alliance, CIOMS, TransCelerate, and other relevant forums to shape standards and best practices Education & Requirements: Masters or PhD in Data Science, Engineering, Computer Science, or related fields 15+ years of experience in digital leadership or advanced analytics/AI roles within R&D-driven pharmaceutical industry Deep knowledge More ❯

the latest advancements in multilingual data processing and contribute to the team's knowledge base. You may be a good fit if you have: A Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred), or equivalent experience. Experience analyzing datasets with respect to quality and suitability for training ML models. Strong More ❯

collaborate on large-scale transformation programs. Share insights and success stories across regions to scale impact and consistency. What You Bring Required Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field 7+ years of experience in enterprise data platforms, architecture, or solution advisory roles. Deep knowledge of SAP HANA Cloud, SAP More ❯

leveraging AI to further enhance organizational capabilities. Contribute to other assigned tasks, projects, and initiatives as needed to support team and organizational goals. You Have Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field. 1 - 2 years of experience working with AI/ML concepts and technologies (e.g., natural language More ❯

. Analyze problems discovered by QA or product support and develop solutions. Minimum Education/Certification Requirements and Experience A first-class or upper second-class honors degree in Computer Science, Engineering, Science or Mathematics (or related field) Significant professional software development experience and experience of modern software development methodologies. Preferred Qualifications and Skills Successful candidates must More ❯

the organization. Drive root cause analysis and opportunity sizing to surface the highest-value areas for investment or process improvement. What you'll bring: BS or MS in Data Science, Statistics, Computer Science, or a related field 5+ years of experience in data science or analytics, with demonstrated work on operations-focused projects. Hands-on experience More ❯

succeed. A person who wants to make a difference. Required Knowledge and experience Technical skills: Confident user of MSTeams Strong applied experience in machine learning and/or data science roles Solid understanding of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure … ability to adapt content and delivery style to different audience levels. Additional ideal technical skills required Digital engagement tools (menti/Miro/Whiteboarding etc) Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable) Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus More ❯

CSS as it will be a regular task - IS A MUST from the 1st day in the project Nice to have - Education: Bachelor's/Master's degree in computer science or computer engineering- Experience in finance/banking business domain- ReactJS, Redux, TypeScript, HTML, CSS- Docker- Unix usage experience- Java More ❯

skills for cross-functional collaboration and presenting technical results. Initiative-driven with a passion for innovation and digital transformation. Education: Bachelor's or Master's degree in Mechanical Engineering, Computer Science, Data Science, Mechatronics, or a related field. Additional certifications or training in AI/ML or Data Engineering are highly desirable What we offer (For Permanent More ❯

Experience: 7-10 years of experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson More ❯

Experience: 7-10 years of experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson More ❯

Provide insights that will be used to improve existing solutions and plan those of our next generation You are great at and have Degree in Information Technology or Systems, Computer Science,mathematics, science, or related STEM concentrations. Minimum 2:2 is required. Experience with SQL databases and SQL programming language Highly analytic with strong problem-solving and More ❯

Experience: 7-10 years of experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson More ❯

Experience: 7-10 years of experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson More ❯

Experience: 7-10 years of experience in Smart Mobility/Intelligent Transportation Systems (ITS), preferably, holding a Bachelor’s or Master’s degree (BA/MS) in Transportation Engineering, Computer Science, Data Science, or a related field. Proven experience as a Master System Integrator (MSI) in a major system integration company such as Siemens, Schneider, Honeywell, Johnson More ❯

our company. As a Lead Data Scientist you will: Become a trusted advisor working with clients to design end-to-end analytical solutions Work independently to solve complex data science use-cases across various industries Design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights Write code in SQL, Python, and Spark … to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. In particular you have these traits: Degree in Computer Science, Engineering, Mathematics, or equivalent experience. Experience with building high quality Data Science models to solve a client's business problems Experience with managing stakeholders and collaborating … required Ability to manage an individual workstream independently 3+ years of experience developing and deploying ML models in any platform (Azure, AWS, GCP, Databricks etc.) Ability to apply data science methodologies and principles to real life projects Expertise in software engineering concepts and best practices Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives More ❯