326 to 350 of 2,184 Computer Science Jobs in the UK

ability to work across a diverse scope of projects requiring detailed analysis, creative/practical problem solving, and sound judgement. Bachelor’s degree in computer science, Data Science, Mathematics, or a similar technical discipline, or equivalent practical experience in a data/analytics product role. ...

compliance gaps or risks## What you will need to be successful (experience and qualifications)**Technical skills we need from you*** Bachelor’s degree in Computer Science, Engineering, Computer Information Systems or equivalent work experience* Skillful in the ability to adapt to new technologies and processes ...

lines products Create innovative data solutions finding new ways to mine insight & present data Build and maintain sophisticated models, prioritising a range of data science techniques Develop reporting structures to monitor pricing performance in an automated fashion Workingwith either retail or technical pricing teams and closely with underwriting teams … critical advantage in the increasingly competitive insurance market. Key Responsibilities: Develop a suite of advanced pricing models using a combination of traditional & data science techniques across Private Car, Commercial Vehicle & Home accounts Advance the adoption of data science & statistical techniques across pricing & underwriting Research and leverage ...

+ Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses … business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor/coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real ...

+ Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn’t just another senior data science position. It’s a chance to shape the future of analytics in one of the UK’s most successful privately owned technology businesses … business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor/coach across the Data Science function. This is a role where your ideas won’t sit in a backlog for months.. They will have a visible impact in real ...

mitigations. We would love to hear from you if... A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar) 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime … building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering Proficiency in Python and SQL; comfort working across the full model development lifecycle An investigative ...

cross-functionally with stakeholders and help raise analytical, measurement, and experimentation standards across the business.**Role Requirements*** Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.* 4–6 years of experience in Data Science, Product Analytics, Marketing Analytics, Growth ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision … controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Contribute to the development and adoption of best practices ...

part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company. Requirements: Degree-educated in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience Strong consulting (7+ years), communication and presentation skills, with the ability to engage ...

peer groups involved in common business goals. Ability to meet changing demands and adapt to frequently changing priorities. Qualifications: Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or similar. 3+ years of experience in Python Development (or MS in above subjects + 0-2 years ...

Description for further details Person Specification Qualifications and knowledge Essential Level 7 qualification (master's) in a relevant subject such as IT, Computer Science, Data Science, Health Informatics or equivalent experience with evidence of the rigorous research in the specialist subject area. Evidence of continued professional development ...

people management — helping your team succeed while staying close to the code. We’re looking for someone who has: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (4+ years) in machine learning and data science roles Proven ...

people management — helping your team succeed while staying close to the code. We’re looking for someone who has: Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (4+ years) in machine learning and data science roles Proven ...

customer support. Interfacing with hardware design and development engineers. Assessing third‐party and open‐source software. JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS A Bachelor of Science (BS) or Master of Science (MS) degree in Computer Science, Electrical Engineering, or Computer Engineering. 9+ years of industry experience ...

forefront of advancements in AI, foundation models, and autonomous agents. What you’ll bring 5+ years of experience in AI, Machine Learning, Data Science, or related fields. Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, and Hugging Face. Experience taking AI proof-of-concepts from idea … mindset with a desire to experiment, learn, and build. Experience with multimodal AI, AI governance, or MLOps. Bonus Points Advanced degree in AI, Computer Science, Data Science, or related disciplines. Research, publications, patents, or open-source contributions in AI/ML. Knowledge of payments, fintech, or financial ...

skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders. Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline. Final-stage candidates are required to attend at least one in-person interview ...

skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders. Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline. Final-stage candidates are required to attend at least one in-person interview ...

translate model outputs into real-world mitigations. Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial … building and deploying machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency ...

team members. Strategic thinking and a continuous improvement mindset. Experience of delivering Oracle Machine Learning, AI and business analytics solutions. 5. Qualifications Degree in Computer Science, Data Science, Information Systems, or equivalent experience. Familiarity of tools such as BI Publisher and OTBI (desirable) Oracle certifications in Analytics ...

team of data engineers. Excellent communication and collaboration skills, with the ability to effectively interact with cross‐functional teams and stakeholders. Qualifications Degree in Computer Science, Data Science or a related field. Team Working Performance Focus Change Focus Creativity and Innovation Problem Solving and Judgement Communication & confidence ...

impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision … controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Contribute to the development and adoption of best practices ...

collaborative environment (git/bitbucket/JIRA etc.) Advanced Degree (PhD OR Masters) in a relevant subject such as Mathematics/Natural Science/Computer Science/Engineering Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation ...

/Linux stack. Familiarity with build tools, including Gradle, Git, TeamCity, Jenkins, and Artifactory. Strong academic record, ideally with a Bachelor’s degree in Computer Science, Information Science, Engineering, or a related technical or quantitative discipline. Competencies: Strong verbal and written communication skills, with the ability ...

meet targets. Write technical document and feature descriptions for straightforward projects under the direction of a supervisor Minimum Qualifications Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Master's degree in Science, Engineering … related field and 3+ years of ASIC design, verification, validation, integration, or related work experience. PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience. Preferred Qualifications 5+ years Hardware Engineering, Software Engineering, Systems Engineering, or related work experience ...

part of a global model strategy and deployment of NLS and TS. You will be familiar with financial crime processes, the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. … reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial ...