1 to 25 of 7,411 Degree Jobs in England

managing data as a business asset Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making Skills and Experience Required A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree advantageous. At least six years of work experience in data management disciplines More ❯

concepts clearly to non-technical stakeholders. Ability to mentor and lead a team of data scientists, machine learning engineers, and data engineers, with strategic decision-making capability. Essential Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience MS & 4+ years of work … learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team More ❯

Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related More ❯

Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related More ❯

Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master s degree or MBA preferred. 10+ years of experience in data management, analytics, or related More ❯

Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related More ❯

Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related More ❯

Establish key performance indicators (KPIs) and feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related More ❯

an AI-ready data foundation that allows us to leverage machine learning and artificial intelligence to enhance business decision-making across all domains. REQUIREMENTS Bachelor's or Master's degree in Computer Science, Engineering, or related technical field 8+ years of experience in enterprise data architecture or systems design Strong knowledge of data governance, lineage, and metadata management principles More ❯

About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning More ❯

The Client & Banking Analytics (CBA) team within CIB transforms data with strategic analytics, driving insight, innovation, and commercial performance across HSBC. As the business owner of Omnia and CME, CBA is instrumental in driving their strategic development to simplify data More ❯

Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills Description: n/a Languages: English: C1 Advanced More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or More ❯

expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real More ❯

expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real More ❯

expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real More ❯

expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real More ❯

fraud practices. Excellent analytical and problem-solving skills, with high accuracy in data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in More ❯

Kubeflow, Vertex AI, Azure ML). -Strong understanding of data engineering, data pipelines, and ETL workflows. -Excellent problem-solving, communication, and stakeholder engagement skills. -Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Languages: English: B2 Upper Intermediate More ❯