1 to 25 of 222 Permanent PhD Jobs in the UK

Operations to support business objectives. Skills & Experience Essential Minimum 6 years of experience in a quantitative analytics, quantitative research, or derivatives-focused role. MSc, PhD, or equivalent degree in a quantitative discipline such as Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related field. Strong understanding of derivatives markets ...

lifecycle.\ N\nRequired qualifications, capabilities, and skills\ N\nFormal training or certification on software engineering concepts and 5+ years applied experience\ NMS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.\ NExtensive expertise applying data science and ML to business ...

team skills in a multi-location environment Deep understanding of financial products, their valuations, and associated risks Preferred Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts ...

will be optional opportunity for management responsibility dependent on the candidate's experience. \n\n Required qualifications, capabilities, and skills \n \n Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning ...

together with stakeholders to respond to internal audit queries and manage remediation actions and findings Your skills and experience Advanced degree (Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science) 7+ years’ experience developing analytical or machine learning models in financial services (ideally Anti-Financial ...

thrive.**What you’ll need*** Extensive experience developing and deploying AI systems and machine learning models in a production environment.* Master’s or PhD (preferred) in Computer Science, Mathematics, Engineering, or relevant STEM field.* Deep knowledge of AI/ML concepts, algorithms, and techniques, including Generative AI, Agentic ...

documentation, reproducibility, traceability, and SDLC; ensure compliance with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front-office quant experience supporting trading/risk ...

Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward \n\n Required qualifications, capabilities, and skills \n \n Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc \n Robust understanding of Machine Learning, Statistics, and Mathematics, both ...

cases and improving existing approaches. Qualifications Extensive experience developing and deploying AI systems and machine learning models in a production environment. Master’s or PhD (preferred) in Computer Science, Mathematics, Engineering, or relevant STEM field. Deep knowledge of AI/ML concepts, algorithms, and techniques, including Generative AI, Agentic ...

evaluation Strong feature engineering and exploratory data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline The Senior Data Scientist will ideally have the following attributes: Experience ...

Transformation teams to address and solve complex problems using AI/ML. \n\n Required Qualifications, Capabilities, and Skills: \n \n MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. \n Proven experience building and deploying AI applications in large-scale production environments. \n Experience with ...

scope to achieve optimal outcomes in a fast-paced environment.\ N\nNICE TO HAVE BUT NOT ESSENTIAL\ N\n\n An advanceddegree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred.\ N\n Experience withinFinancial Services or FinTech\ N\nAdditional Information ...

documentation, reproducibility, traceability, and SDLC; ensure compliance with internal policies for model risk management and data governance. Required Qualifications, Capabilities, and Skills Advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative field. 5+ years of front‐office quant experience supporting trading/risk ...

technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. \n\n Desirable Experience: \n \n BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing ...

technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. \n\n Desirable Experience: \n \n BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing ...

solutions \n \n\n Required qualifications, capabilities, and skills \n \n Hands on experience in an ML engineering role \n Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n Track record of developing, deploying business critical machine learning models \n Broad knowledge of MLOps tooling ...

through knowledge sharing, pair programming, collaborative debugging and design workshops \n\n Required qualifications, capabilities, and skills: \n \n Advanced degree (Master's or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics) \n Extensive practical research experience and a proven track ...

teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.\ N\nDesirable Experience:\ N\nBSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.\ NFamiliarity with Workday APIs, data structures, and integration patterns.\ NExperience designingand implementing generative ...

teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders.\ N\nDesirable Experience:\ N\nBSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.\ NFamiliarity with Workday APIs, data structures, and integration patterns.\ NExperience designingand implementing generative ...

pricing strategies, or related marketplace dynamics. Knowledge of digital advertising ecosystems, including programmatic advertising and sponsored search. Preferred Qualifications Advanced degree (MBA, MS, or PhD) in a quantitative or technical field. Familiarity with AI tools, LLMs, or agent‐based systems, including practical experience applying these technologies to product development. Previous ...

technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops\ N\nRequired qualifications, capabilities, and skills:\ N\nAdvanced degree (Master's or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics)\ NExtensive practical research experience and a proven track record ...

advertising ecosystems, including programmatic advertising and sponsored search./li/ul h3 Preferred Qualifications/h3 ul li Advanced degree (MBA, MS, or PhD) in a quantitative or technical field./li li Familiarity with AI tools, LLMs, or agent based systems, with practical experience applying these technologies ...

Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.\ N\nRequired Qualifications, Capabilities, and Skills:\ N\nMSc or PhD in Computer Science, Data Science, Machine Learning, or related field.\ NProven experience building and deploying AI applications in large-scale production environments.\ NExperience with MLOps ...

disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science ...

pricing strategies, or related marketplace dynamics Knowledge of digital advertising ecosystems, including programmatic advertising and sponsored search Preferred Qualifications: Advanced degree (MBA, MS, or PhD) in a quantitative or technical field Familiarity with AI tools, LLMs, or agent‐based systems, including practical experience applying these technologies to product development Previous ...