76 to 100 of 229 R Jobs in London

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

mix/econometric modelling. Strong grasp of statistical modelling theory and hands-on delivery. Confident communicator and compelling storyteller with data. Skilled in Python, R, or SQL for data analysis and modelling (or keen to develop further). Experience with scenario planning and transforming complex data into client-ready outputs. More ❯

least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional More ❯

least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional More ❯

least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional More ❯

least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional More ❯

portfolio would be a strong advantage) Advanced SQL skills, with the ability to write complex queries and work with large datasets Familiarity with Python, R or other scripting tools for deeper analysis. You’ll be the only analyst in this team, so working autonomously is key (you’ll be supported More ❯

techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models More ❯

techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models More ❯

with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction More ❯

with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction More ❯

with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction More ❯

years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with customer data or analytics to provide actionable insights. More ❯

business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map More ❯

they do and is excited by the opportunity to join an established scale-up with big ambitions. Bonus points for experience with: Python or R Tableau or Power BI HOW TO APPLY: Apply via the link below. More ❯

our architecture. Requirements Proven experience in data science with a focus on data standardisation prompt engineering. Familiarity with machine learning frameworks and programming (Python, R, SQL) – ML is not a hard requirement. Ready to Join? If you're excited about transforming the future of treasury and risk management and want More ❯

our architecture. Requirements Proven experience in data science with a focus on data standardisation prompt engineering. Familiarity with machine learning frameworks and programming (Python, R, SQL) – ML is not a hard requirement. Ready to Join? If you're excited about transforming the future of treasury and risk management and want More ❯

our architecture. Requirements Proven experience in data science with a focus on data standardisation prompt engineering. Familiarity with machine learning frameworks and programming (Python, R, SQL) – ML is not a hard requirement. Ready to Join? If you're excited about transforming the future of treasury and risk management and want More ❯

a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. Strong scientific programming in Python, R or Matlab. Further context: The company is one of the most reputable in the industry, and is recognized for leading innovation and technological development in More ❯

/global trade compliance experience. Proficient in SQL data processing and skilled in using at least one professional analysis tool, such as SAS, Python, R, etc. Strong project management experience, good team collaboration skills, and ability to work under pressure. Fluent in English listening, speaking, reading, and writing; proficiency in More ❯

covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong More ❯

for this opportunity you will have the following: MUST HAVE DELIVERED TRAINING PREVIOUSLY MUST HAVE A TEACHING OR ASSESSING QUALIFICATION Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals. Experience of delivering training in Data Analysis a minimum of 1 year. A relevant qualification in Data Analysis, ideally More ❯

for this opportunity you will have the following: MUST HAVE DELIVERED TRAINING PREVIOUSLY MUST HAVE A TEACHING OR ASSESSING QUALIFICATION Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals. Experience of delivering training in Data Analysis a minimum of 1 year. A relevant qualification in Data Analysis, ideally More ❯

for this opportunity you will have the following: MUST HAVE DELIVERED TRAINING PREVIOUSLY MUST HAVE A TEACHING OR ASSESSING QUALIFICATION Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals. Experience of delivering training in Data Analysis a minimum of 1 year. A relevant qualification in Data Analysis, ideally More ❯