1 to 25 of 1,516 Degree Jobs in London

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 ❯

documentation that meets audit requirements. Translate business questions into well scoped technical tasks and clearly communicate results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in More ❯

ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large More ❯

ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects and large More ❯

into actionable insights• Strong communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Marketing, or a related field Bonus Points: • Experience working in or with performance media agencies• Experience with cloud computing platforms (e.g., AWS, Google 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 ❯

and long-term platform health. Mentor and support other engineers, helping grow a strong engineering culture built on trust, ownership, and execution. What You Bring Required Skills Bachelor's degree in Computer Science, Engineering, or a related field. 6+ years of professional software development experience, ideally in backend or platform teams. Strong proficiency in backend service development in Node.js More ❯

Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience (AWS, Azure, or GCP). Experience implementing data management frameworks and operating models. Desirable: Master's degree or DAMA certification (CDMP).Proven expertise with Workday product and data integrations. Experience across different database architectures (Lakehouse, Relational, Document Store). Familiarity with observability tools, BI platforms (Power More ❯

distributed team of data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary More ❯

distributed team of data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary More ❯

lead cross-functional teams and mentor junior staff. • Strong communication and stakeholder management skills. • Ability to influence technical and business decision-making. Preferred Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • Certifications such as: • Microsoft Certified: Modern Desktop Administrator Associate • Citrix Certified Expert – Virtualization • ITIL Foundation or Practitioner About Capgemini Capgemini is a More ❯

Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (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 More ❯

concepts and OLAP reporting services Power BI and Tableau development Microsoft SQL Server & Management Studio Microsoft Excel Power Query and Power Pivot (DAX) Salesforce Tableau Qualifications & Experience: Bachelor’s degree in computer science, Information Technology, or related field 10+ years’ experience in SQL development, dashboards, and reporting tools (Power BI/Tableau) Proven experience as a SQL Developer or More ❯

concepts and OLAP reporting services Power BI and Tableau development Microsoft SQL Server & Management Studio Microsoft Excel Power Query and Power Pivot (DAX) Salesforce Tableau Qualifications & Experience: Bachelor’s degree in computer science, Information Technology, or related field 10+ years’ experience in SQL development, dashboards, and reporting tools (Power BI/Tableau) Proven experience as a SQL Developer or More ❯

native data solutions. Ensure data security and compliance with financial regulations and standards. Troubleshoot and resolve data-related issues in production environments. Your Profile: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering roles, preferably in banking or financial services. Strong programming skills in Python and PySpark . More ❯

programming is essential, alongside expertise in applications of machine learning (ML), deep learning (DL), or natural language processing (NLP). Required Skills: Education: BSc/Msc in a technical degree, including but not limited to Mathematics, Quantitative Finance, Physics, Computer Science, or Engineering. Machine Learning and AI: Experience working with machine learning and AI techniques or at least eager More ❯

system redundancy Create comprehensive documentation for all system configurations processes and troubleshooting guides Continuously review and refine operational processes to improve efficiency and reliability Qualifications Education Bachelors or Masters degree in Computer Science Information Technology or a related field or equivalent experience Experience 10 years of handson experience with Genesys solutions including Genesys Cloud Genesys Engage and related components More ❯

system redundancy Create comprehensive documentation for all system configurations processes and troubleshooting guides Continuously review and refine operational processes to improve efficiency and reliability Qualifications Education Bachelors or Masters degree in Computer Science Information Technology or a related field or equivalent experience Experience 10 years of handson experience with Genesys solutions including Genesys Cloud Genesys Engage and related components More ❯

technical and non-technical stakeholders, including clients, alongside Sales, and ensure the integrity, accuracy, and performance of all developed analytical tools and mode Qualifications: Bachelor's or Master's degree (preferred) in a quantitative field such as Computer Science, ML, AI, Statistics, Mathematics, or Financial Engineering. Should have hand on experience in quantitative analysis, data science, or machine learning More ❯

Solid understanding of common web infrastructure and the role of servers and front-end frameworks Excellent project management skills, able to keep multiple projects moving at the same time Degree level education or equivalent/relevant work experience Strong interest and passion for improving websites and user experience Strong Microsoft Office and/or Google Workspace skills which must More ❯

leadership experience, with the ability to manage and mentor data engineering teams . Strong stakeholder engagement skills, translating complex data insights into actionable business strategies . Preferred Experience: STEM degree (Computer Science, Engineering, Mathematics, or related field). Experience in data governance, security, and compliance frameworks . Background in legal or professional services (advantageous but not essential). This More ❯

product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow More ❯

Stay current with the latest research and advancements in prompt engineering, LLMs, and GenAI. Contribute to internal documentation, best practices, and knowledge sharing initiatives. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working More ❯

with the latest research and advancements in prompt engineering, LLMs, and GenAI. Contribute to internal documentation, best practices, and knowledge sharing initiatives. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working More ❯

performance of data pipelines and storage solutions. • Stay up to date with emerging technologies and recommend improvements to the data platform. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM More ❯