201 to 225 of 515 R Jobs in the UK excluding London

in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem software is preferred 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 ❯

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 ❯

technical differences between different packages for some of these model types would be an advantage. 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) Experience of WTW's Radar software is preferred Proficient More ❯

technical differences between different packages for some of these model types would be an advantage. 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) Experience of WTW's Radar software is preferred Proficient More ❯

technical differences between different packages for some of these model types would be an advantage. 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) Experience of WTW's Radar software is preferred Proficient More ❯

the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience More ❯

to apply for positions across our organisation. In return, you can expect us to H elp you grow, E mpower you, A ppreciate you, R espect you, and your T eam. Data & AI team, At Columbus, we value collaboration, trust-building, curiosity, and delivering customer success. By joining our Data More ❯

to apply for positions across our organisation, in return you can expect us to H elp you grow. E mpower you. A ppreciate you. R espect you, and your T eam. Data & AI team, At Columbus, we value collaboration, trust-building, curiosity and delivering customer success. By joining our Data More ❯

to apply for positions across our organisation, in return you can expect us to H elp you grow. E mpower you. A ppreciate you. R espect you, and your T eam. Data & AI team, At Columbus, we value collaboration, trust-building, curiosity and delivering customer success. By joining our Data 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 ❯

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 ❯

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 ❯

in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous but is not required The company offer a unique opportunity to work in a very interesting sector with More ❯

in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous but is not required The company offer a unique opportunity to work in a very interesting sector with More ❯

develop and implement advanced BI solutions in accordance with critical stakeholders and their requirements. Candidates who have experience developing custom BI products using SQL, R and Python to tailor said solution is highly desirable. You should also have exposure and knowledge in data integration, data warehousing, data modelling, and data More ❯

impactful findings to senior leaders Work cross-functionally to deliver data projects end-to-end What you’ll bring: Strong experience with Python or R Proven track record with machine learning and predictive analytics Confidence turning data into decisions – and explaining it simply Commercial mindset and a drive to make More ❯

impactful findings to senior leaders Work cross-functionally to deliver data projects end-to-end What you’ll bring: Strong experience with Python or R Proven track record with machine learning and predictive analytics Confidence turning data into decisions – and explaining it simply Commercial mindset and a drive to make More ❯

impactful findings to senior leaders Work cross-functionally to deliver data projects end-to-end What you’ll bring: Strong experience with Python or R Proven track record with machine learning and predictive analytics Confidence turning data into decisions – and explaining it simply Commercial mindset and a drive to make More ❯

impactful findings to senior leaders Work cross-functionally to deliver data projects end-to-end What you’ll bring: Strong experience with Python or R Proven track record with machine learning and predictive analytics Confidence turning data into decisions – and explaining it simply Commercial mindset and a drive to make More ❯

technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management More ❯

technical modelling teams. ✔️ Personal Lines Pricing experience (Motor, Home or Pet) ✔️ Strong skills in predictive modelling – e.g., GLMs, GBMs, GAMs, Random Forests ✔️ Proficiency in R, Python, PySpark, SAS or SQL ✔️ Experience with Radar and/or Emblem ✔️ A numerate degree (e.g., Maths, Stats, Actuarial, Engineering) ✔️ Strong communication and stakeholder management More ❯

including randomized controlled trials and observational study methodologies Strong understanding of conformal prediction theory and applications Proficiency in programming languages such as Python or R, and relevant statistical packages Experience with causal inference frameworks (e.g., potential outcomes, causal graphs, do-calculus) Knowledge of modern machine learning techniques and how they More ❯