1 to 25 of 3,322 Degree Jobs in England

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 ❯

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 ❯

ability to work in fast-paced, evolving environments. Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights 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 ❯

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 ❯

technical solutions with business needs. Mentor junior engineers and foster a culture of continuous learning within the team. Skills/Qualifications Education: Bachelor's/Master's/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Experience: 5+ years of experience in data engineering or a related field. Strong expertise in data pipeline More ❯

collaborate across time-zones and adjust priorities as needed. Strong attention to detail, ensuring accuracy and precision in data analysis, project documentation, and business requirement gathering. A Bachelor's degree in a quantitative discipline such as Business, Economics, Marketing, Finance, Accounting, or Mathematics. Preferred qualification: familiarity with Python scripting, experience in executing and analyzing AB tests at scale. What More ❯

experience. Stay up-to-date with the latest trends in big data technologies, geospatial intelligence, and data analytics to drive innovation. Required Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, Geospatial Intelligence, Data Science, or a related field, or equivalent experience. Experience: 5+ years of experience in software engineering, with a focus on building and … platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or related field. Experience with data visualization tools and libraries (e.g., Tableau, , Mapbox, Leaflet) for displaying geospatial insights and analytics. More ❯

teams to understand evolving fraud patterns and integrate insights into product development. Mentor and support other data scientists, fostering technical excellence and innovation across the organization. Education Master's degree or PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field. Degree from a leading Engineering School (Grand Ecole) or University with a strong quantitative curriculum More ❯

in mentoring or coaching others, with a desire to foster a culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment More ❯

in mentoring or coaching others, with a desire to foster a culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment More ❯

learning techniques to analyze large financial datasets and enhance the model performance. To be successful in this role, we’re seeking the following: Master/MBA/PhD's Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering) Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data 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 ❯

to ensure platform reliability. Driving complex, high-impact projects that advance Redwood's finance automation capabilities. YOUR EXPERIENCE The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. You should have over eight years of software development experience, with at least three to five years in a senior More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role More ❯

and process improvements Supporting business development activities including involvement in new client pitches What we're looking for Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial More ❯

more, visit: Flexible working . To discover more about what makes UCLH a great place to work, visit: Why Choose UCLH? Person Specification Knowledge and Qualifications Essential Educated to degree level or equivalent Holds a relevant Masters' degree level qualification or equivalent experience. Experience Essential Significant experience in an information analysis/processing role Proven experience of working … Epic BI stack, including developing Radar, Slicer Diver, Reporting Workbench contents Skills and Abilities Essential Knowledge of information analysis and the use of information across the NHS acquired through degree or equivalent experience Ability to interrogate databases Ability to interpret complex data Ability to convert data to management information Advanced use of Power BI and/or MS Excel 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 ❯

global equities markets, meeting requirements with impactful and rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways. As a member of the team,you … tools as necessary to collect it. Communication with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc. Basic Qualifications Bachelors or Master's degree in computer science or engineering or equivalent experience 6 to 7 years of professional experience in a data engineering/analytics role Experience with building and managing KDB based More ❯

project lifecycle. Contribute to the development and enforcement of IT/OT governance frameworks to ensure consistent and secure operations. Essential Skills and Qualifications Education & Experience: Bachelors or Masters degree in Engineering, Computer Science, Automation, or a related field. At least 15+ years of experience in manufacturing operations management, digital manufacturing, or industrial automation. Technical Expertise: Deep understanding of More ❯

Contribute to the development and enforcement of IT/OT governance frameworks to ensure consistent and secure operations. Essential Skills and Qualifications Education & Experience: Bachelor's or Master's degree in Engineering, Computer Science, Automation, or a related field. At least 15+ years of experience in manufacturing operations management, digital manufacturing, or industrial automation. Technical Expertise: Deep understanding of 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 ❯

team Accelerate delivery of key data projects through new 'ways of thinking' At least 4 years of experience in the Data Analytics space (preferably in a consulting context) University degree 2.1 or higher (or equivalent) in Computer Science/Mathematics/Statistics or equivalent End to end knowledge of data warehouse and reporting processes Ability to identify and implement More ❯

model performance , flagging issues and iterating where appropriate Present findings clearly to technical and non-technical audiences to inform decision-making across teams What You'll Bring: Master's degree in a quantitative field (e.g. Mathematics, Physics, Engineering, Computer Science, Economics) Self-motivated with a researcher's mindset to tackle ambiguous challenges and drive solutions with minimal guidance Demonstrated More ❯