201 to 225 of 702 R Jobs in England

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions More ❯

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions More ❯

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions More ❯

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions More ❯

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions More ❯

Why We Work at Dun & Bradstreet Dun & Bradstreet combines global data and local expertise to help clients make smarter decisions. With 6,000+ people in 31 countries, we are a team of diverse thinkers and problem solvers who all share More ❯

in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation More ❯

emphasis on numeracy and computation such as Maths, Engineering, Computer Science, Finance or similar Strong working knowledge of programming languages such as C#, C++, R or Python Knowledge of SQL Understanding of finance and capital markets Excellent interpersonal skills Apply for this job More ❯

AWS Redshift, Google BigQuery, or Azure Synapse Analytics. 2. *Data Science*: Knowledge of data science concepts and experience with data science tools such as R, Julia, or TensorFlow. 3. *DevOps*: Experience with DevOps practices such as continuous integration, continuous deployment, and continuous monitoring. 4. *Agile Methodologies*: Experience with Agile methodologies 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 ❯

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. Amazon is an equal opportunities More ❯

including cost-to-serve and flow accounting models Turning complex data into clear insights and dashboards ( Power BI/Tableau/Excel ) Using SQL , R or Python for data querying and analysis Presenting findings to both technical and non-technical audiences Knowledge of data governance, security policies, and best practices More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Proven experience of modelling using WTW toolkit (Emblem and 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 ❯

data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership You'll join a team that values innovation and More ❯

software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW’s Radar software is preferred More ❯

software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW s Radar software is preferred More ❯

software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred More ❯

software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred More ❯

hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. Experience using statistical software and programming using R, SQL, Python or similar in datasets. Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as More ❯

and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working More ❯

and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working 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 ❯