1 to 25 of 757 PhD Jobs in London

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/ ...

QUALIFICATIONSBachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fieldsUpto 2 years of professional experience applying machine learning and data mining techniques to real-world problems with substantial data setsProgramming experience (focus on machine learning): R and/ ...

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 ...

quantitative discipline such as Mathematics, Statistics, Economics, Econometrics, Operational Research, Physics, Engineering, Data Science or a related field. A postgraduate qualification or PhD would be advantageous (Preferred) WE VALUE YOUR IMPACT At Santander, your contribution matters. We recognise the difference you make every day, and we make sure you feel ...

quantitative discipline such as Mathematics, Statistics, Economics, Econometrics, Operational Research, Physics, Engineering, Data Science or a related field. A postgraduate qualification or PhD would be advantageous (Preferred)WE VALUE YOUR IMPACTAt Santander, your contribution matters. We recognise the difference you make every day, and we make sure you feel valued ...

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 ...

machine learning, alongside the ability to translate complex technical concepts into practical, business-focused outcomes. Essential experience includes: Degree (BSc, MSc or PhD) in a quantitative or scientific discipline such as computer science, mathematics, physics or engineering Several years' experience working as a Data Scientist or in a closely related ...

analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Qualifications A Master’s and/or PhD in mathematics, statistics, physics, electrical engineering, computer science, data science, financial engineering, or related fields A strong background in Python, C++ Strong problem-solving abilities ...

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

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 ...

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 ...

influencing senior stakeholders in a matrix environment. Preferred Qualification If you have the following characteristics, it would be a plus. Advanced degree (MSc/PhD) in a quantitative or clinical discipline. Hands‐on experience with machine learning techniques applied to operational or time‐to‐event problems. Familiarity with clinical trial ...

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 ...

with it, and make that case clearly to both technical teams and senior stakeholders who aren't.Bonus points forAn advanced degree (Master's or PhD) in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering.Experience in BNPL, credit cards, or other transaction-heavy payment products.You ...

landscape in electronic trading. Present research findings and strategic recommendations to senior stakeholders and cross‐functional partners. Basic Qualifications Advanced 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 ...

influencing senior stakeholders in a matrix environment.Preferred QualificationBasic QualificationIf you have the following characteristics, it would be a plus- Advanced degree (MSc/PhD) in a quantitative or clinical discipline.- Hands-on experience with machine learning techniques applied to operational or time-to-event problems.- Familiarity with clinical trial systems ...

subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or a related field. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised ...

teams Excellent communication skills, with the ability to present technical concepts to senior business stakeholders and non‐technical audiences Preferred Qualifications, Capabilities, and Skills PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Experience leading AI/ ...

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 ...