1 to 25 of 5,937 Degree Jobs in the UK

strengthens analytics and data engineering capability. Identify opportunities for efficiency and performance optimisation within the team. Ensure robust project management, risk management, and progress reporting. Knowledge, Skills & Experience Essential Degree in Computer Science, Data Science, Statistics, Engineering, or equivalent. Proficiency in Python, SQL, ETL, APIs, and cloud platforms (AWS/Azure/GCP). Knowledge of ML algorithms, operationalisation More ❯

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 ❯

Understanding of data quality and integrity principles Some other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team More ❯

Build a trusted advisor relationship with business and technology leaders. Stay periodically engaged throughout the project lifecycle to ensure ongoing alignment to the vision. Bachelor's or master's degree in engineering. 20+ years of Solution Architecture experience . click apply for full job details More ❯

impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully More ❯

impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully More ❯

cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to More ❯

Overview Location: Belfast Other locations: Primary Location Only Date: 15 Sept 2025 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and More ❯

Location: London Programme duration: 3-6 months or 12-month industrial placement Who qualifies : penultimate or final year students completing bachelor's or master's degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach More ❯

environments. Familiarity with AI/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or Computer Science. Masters degree or relevant professional certifications are a plus. Why Join Us? Opportunity to influence commercial strategy More ❯

with Data Regulations and Laws e.g. GDPR, CCPA, PIPL Experience with big data technologies, ETL processes and Data modeling (ideally Microsoft Azure). Education & Professional Qualifications: Required: Bachelor's degree in Computer Science, Data Engineering or related STEM (Science, Technology, Engineering, Mathematics) subject or similar Preferred: Masters degree in above fields Preferred: Accreditations/certifications (e.g. DAMA) in More ❯

decisions. Role Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, maths will not be eligible. You will also need to commit to completing a Level More ❯

of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining More ❯

of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining More ❯

of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining More ❯

of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining More ❯

of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining More ❯

3m pipeline of Data practice work by leading on commercial efforts, leveraging networks, and support existing relationships and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or More ❯

You will provide strong technical mentorship, create a culture of excellence and experimentation, and invest in the long-term growth and development of your team. You Have: Master's degree in a quantitative or computational discipline such as Mathematics, Statistics, Computer Science, or Engineering. 10+ years of experience in Analytics, Data Science, or a related field, with a demonstrated More ❯

and collaborating with third-party vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a More ❯

and collaborating with third-party vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a More ❯

and collaborating with third-party vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a More ❯

and collaborating with third-party vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a More ❯

and collaborating with third-party vendors. Soft Skills: Strong leadership, communication, and organizational skills. Ability to work independently as well as in a team environment. Education: A bachelor’s degree in engineering, particularly in Computer Science, Software Engineering, or a related field, is highly desirable. At Kantar we have an integrated way of rewarding our people based around a More ❯