101 to 125 of 591 R Jobs in the UK

Power BI Expertise Strong experience with Power BI, including Power Query , DAX , data modelling, and dashboard design. Technical Skills Proficiency in SQL and VBA , with exposure to Python or R desirable. Marketing Knowledge Solid understanding of digital marketing concepts, tools, and performance drivers. Communication Confident communicator with the ability to explain technical insights in plain language, challenge assumptions constructively, and More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

and trends, contributing to data-driven decision-making. Knowledge of SQL, data modelling, and database management systems, facilitating effective data extraction and analysis. Proficiency in programming languages like Python, R, or SQL is important for data analysis. Familiarity with database querying, data manipulation, and data cleaning techniques is also beneficial. Familiarity with Power Platform tools, such as Power Apps and More ❯

and trends, contributing to data-driven decision-making. Knowledge of SQL, data modelling, and database management systems, facilitating effective data extraction and analysis. Proficiency in programming languages like Python, R, or SQL is important for data analysis. Familiarity with database querying, data manipulation, and data cleaning techniques is also beneficial. Familiarity with Power Platform tools, such as Power Apps and More ❯

and trends, contributing to data-driven decision-making. Knowledge of SQL, data modelling, and database management systems, facilitating effective data extraction and analysis. Proficiency in programming languages like Python, R, or SQL is important for data analysis. Familiarity with database querying, data manipulation, and data cleaning techniques is also beneficial. Familiarity with Power Platform tools, such as Power Apps and More ❯

the following predictive modelling techniques; 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) Experience of WTW's Radar software is preferred Proficient at communicating results in a More ❯

the following predictive modelling techniques; 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) Experience of WTW's Radar software is preferred Proficient at communicating results in a More ❯

or science manager - Experience in managing managers - Machine Learning breadth and depth - Ability to think creatively and solve complex business and technical problems - Skills in SQL/Python/R (or similar) - Demonstrated track record of cultivating effective working relationships and driving collaboration across multiple technical and business teams - Experience in managing cross-functional projects Our inclusive culture empowers Amazonians More ❯

with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with More ❯

data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data More ❯

Science, Artificial Intelligence, Engineering, or a related field. Proven experience in designing, developing, and deploying machine learning models and AI algorithms. Strong proficiency in programming languages such as Python, R, or Java. Solid understanding of data processing, feature engineering, and data analytics. Ability to collaborate effectively with cross-functional teams including data scientists, engineers, and product managers. Strong problem-solving More ❯

home, there's nothing we can't achieve in the cloud. Basic Qualifications PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field Knowledge of Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists or machine learning engineers Experience in applying statistical models for large More ❯

Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. Bachelor's degree in a related field (e.g. More ❯

Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. Bachelor's degree in a related field (e.g. More ❯

Strong project management skills, with the ability to manage multiple competing priorities in a fast-paced environment. Experience querying data with SQL or using statistical programming languages such as R or Python. Preferred Qualifications Professional certification from WorldatWork (e.g., CCP, GRP). Experience working in a multinational and/or technology organization. Bachelor's degree in a related field (e.g. More ❯

equivalent experience) in a numerical/statistical field Proven experience delivering analysis in a policy or regulatory setting Strong communication skills to explain data-driven insights Proficiency in Python, R, SQL, PowerBI and experience with large datasets Collaborative and adaptable working style Desirable: Knowledge of, Git, AzureDevOps, and Agile/DataOps practices.£41k - £52k per year plus benefitsPermanent positionHybrid working More ❯

tools such as SQL Management Studio, data warehouses and advanced data models in Power BI. Familiarity with data governance and performance optimisation Knowledge of how to use and apply R and Python in data analysis. Ability to plan, track and forecast income & expenditure against relevant budgets, to deliver a value for money service whilst taking action to mitigate any risks. 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 ❯

ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps More ❯

ment (e.g., React, FastAPI, Django, , or similar framewor ks).Strong background in cheminformatics, including retrosynthesis concepts, reaction representations, and chemical space explorat ion.Demonstrated expertise with cheminformatics toolkits (e. g., R DKit) and chemical reaction encoding (e.g., SMARTS/SMIR KS).Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environme nts.Experience with modern More ❯