101 to 125 of 321 R Jobs in London

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

in mathematics, physics, engineering, finance, or related field) Experience with portfolio risk analytics and tools (e.g., factor models, VaR engines) Solid programming skills (Python strongly preferred; familiarity with SQL, R, or C++ a plus) Familiarity with systematic or algorithmic trading strategies High attention to detail, curiosity, and the ability to challenge assumptions constructively More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc) Strong coding skills in SQL plus R or Python (this is non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding More ❯

What we're looking for: At least 3 to 5 years of experience in data science, with a strong focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in More ❯

futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency More ❯

futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency More ❯

futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency More ❯

futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency More ❯

with clients, including modifying solutions for complex problems. Experience working in complex, matrixed organizations. Understanding of statistical models (e.g., regression, neural networks). Proficiency in programming languages like Python, R, MATLAB, or Scala. Experience applying data science and modeling to financial use cases, familiarity with open-source tools. Ability to create technical documentation and present to technical and non-technical More ❯

with neural deep learning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD Amazon is an equal opportunities employer. We believe passionately More ❯

and problem-solving skills while gaining experience in a fast-paced, data-driven environment. What You'll Do Data Analysis & BI Development Perform data analysis using SQL, Python/R, and visualisation tools such as Power BI. Assist in building and maintaining dashboards and reports to support business and client needs. Identify trends and patterns in data to provide actionable … business value. Our Ideal Candidate Some experience in data analysis or a related field (internships, coursework, or entry-level roles). Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualisation tools like Power BI is a plus. Strong analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal More ❯

Experience Required : - Strong Statistics/Maths/Econometrics Background - RDBMS/SQL experience - Strong Msc or PhD Background Any experience in the following is Nice to have : - SAS, SPSS, R Apply now for the Chief Data Scientist role More ❯

track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

a plus) BI tool experience (Power BI preferred) Cloud architecture knowledge and problem-solving flair Bonus: ERP knowledge (Microsoft NAV/Business Central) or ML skills in Python/R If you're a proactive Data Engineer ready to join a fast-paced, data-driven retail environment, get in touch today to find out more. Message me or apply now More ❯

Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

relationships and help define best practices in analytics delivery Contribute to shaping global analytics strategy with a specific focus on UK impact Tech Stack & Skills: SQL (essential) Python or R (preferred) Strong communication and stakeholder engagement skills Experience managing analysts or scientists in a commercial environment A relevant technical or quantitative degree Why join? You’ll be part of a More ❯

relationships and help define best practices in analytics delivery Contribute to shaping global analytics strategy with a specific focus on UK impact Tech Stack & Skills: SQL (essential) Python or R (preferred) Strong communication and stakeholder engagement skills Experience managing analysts or scientists in a commercial environment A relevant technical or quantitative degree Why join? You’ll be part of a More ❯

markets, trading instruments, and risk management concepts Experience with trading platforms such as Allegro, Endur, Titan, or similar ETRM systems Proficiency in data analysis tools (Excel, SQL, Python/R preferred) Understanding of market data feeds, pricing models, and trade lifecycle management Familiarity with regulatory reporting requirements for energy markets Core Competencies:- Excellent analytical and problem-solving skills with attention More ❯