1 to 25 of 868 PhD Jobs in London

Curiosity, resilience and adaptability in fast‐moving environments · Strong commitment to delivering measurable business value Qualifications Required Qualifications · Bachelor's OR Master's OR Doctorate Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data ...

current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science ...

ClearancePreferred qualification - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD- Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3- Experience with software development life cycle (sdlc) and agile/ ...

current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science ...

multidisciplinary teams, gaining a holistic understanding of AI's transformative potential while advancing as a technologist and leader. Your backgroundBachelor's, Master's, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields2+ years of professional experience applying machine learning and data mining techniques ...

current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & Attributes MSc, PhD, or equivalent degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline. 5+ years' experience applying data science ...

evaluating emerging machine learning techniques and AI technologies. Share knowledge and best practices across the research and technology teams. Required Qualifications Education MSc or PhD in Machine Learning, Statistics, Mathematics, Physics, Computer Science, Econometrics, Economics, or a related quantitative discipline. Equivalent practical experience demonstrating significant quantitative and machine learning expertise. ...

collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation. Your backgroundBachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUp to 2 years of professional experience applying machine learning and data ...

Qualifications: Educated to degree level in Computer Science, Engineering, Mathematics, or a related technical discipline (or equivalent professional experience). Postgraduate qualifications (e.g., MSc, PhD) in AI, Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering ...

individual contributor, though there will be optional opportunity for management responsibility dependent on the candidateâs experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers ...

Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's or equivalent experience or PhD preferred. WHAT YOU'LL GET IN RETURNHIGH-IMPACT AI LEADERSHIPLead the development of next-generation AI products, demonstrating large-scale datasets, advanced AI models, and modern ...

Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Artificial Intelligence, Machine Learning**, or a related quantitative field.**Master's or equivalent experience or PhD preferred.**## WHAT YOU’LL GET IN RETURN## HIGH-IMPACT AI LEADERSHIPLead the development of **next-generation AI products**, demonstrating large-scale datasets, advanced AI models ...

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

of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies Develop and maintain complex data pipelines, including data ingestion, feature engineering ...

high-velocity environment, employ agile development practices, and collaborate in a globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with ...

code, code review, documentation). Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. Qualifications Essential MSc or PhD degree in a quantitative field. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products ...

intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. ResponsibilitiesPartner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategiesDevelop and maintain complex data pipelines, including data ingestion, feature engineering, validation ...

wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify opportunitiesRequired qualifications, capabilities, and skillsAdvanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematicsStrong command of stochastic calculus, probability theory, numerical analysis ...

wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical ...

wider quant team to solve problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical ...

competitive landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross-functional partners. Basic QualificationsAdvanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field.5+ years of experience in quantitative research related to execution/ ...

performance, sector positioning, market expectations, earnings trends, and portfolio exposures. Qualifications Education - Undergraduate degree with significant quantitative research experience or MSc/MEng/PHD in Quantitative Finance, Statistics, Econometrics, Computer Science, Engineering, Physics, or a related quantitative discipline. Technical Skills - Highly proficient in programming (R/Python/Java ...

skills, including the ability to explain complex methodology to diverse audiences, mentor technical practitioners, and share knowledge across a team. Nice to have: A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms. Experience ...

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

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