201 to 225 of 751 R Jobs in the UK

and Clustering. Knowledge of the 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 at communicating results in a More ❯

large/high dimensional datasets including data manipulation, wrangling, and analytics. 8+ Experience with machine learning on chemical, sequence, and/or biological features. 8+ years of experience with R and/or Python Preferred Prior experience in pharmaceutical industry Experience with programmatic querying of relational or graph databases is desirable (SQL, neo4j, etc.) Excellent written and oral communication skills More ❯

skills Experience with Microsoft Dynamics AX and NetSuite ERP is highly desirable Proficiency in ETL/ELT tools such as SSIS, Talend, dbt, or equivalent Programming skills in Python, R, or similar for data ingestion and automation Hands-on experience integrating data from digital platforms (Big Query, Google Analytics, Meta Ads, social media APIs) Familiarity with cloud platforms (Azure, AWS 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 ❯

Essential Proficiency in configuring and managing databases (e.g., MySQL, PostgreSQL). Essential Software development in a compiled language (e.g. C, C++, Fortran), and in an interpreted language (e.g. Python, R, Perl) Essential Awareness of cloud-native principles and associated DevOps technologies Desirable Understanding of biology and bioinformatics Desirable Understanding of image processing (e.g. opencv, imagej) and ML/AI frameworks 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 ❯

of experience in quantitative analysis, research, or related fields Experience managing teams of highly skilled quantitative professionals Technical Skills Proficiency in programming languages commonly used in quantitative analysis (Python, R, SQL, MATLAB, etc.)Strong knowledge of financial markets, instruments, and analytical frameworks Experience with big data technologies, cloud computing, and advanced analytics platforms Exceptional problem-solving and critical thinking abilities 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 ❯

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 ❯

who blends technical expertise with commercial and people-facing skills. Experience : 5–6+ years in advanced analytics, predictive modelling and/or decision modelling. Technical skills : Must-have: Python, R, SQL (advanced) Preferred: Snowflake Mindset : Trusted advisor who ensures models are not just built, but embedded and understood. Education : Degree in data science/analytics (preferred). 📩 Interested? Drop me More ❯

who blends technical expertise with commercial and people-facing skills. Experience : 5–6+ years in advanced analytics, predictive modelling and/or decision modelling. Technical skills : Must-have: Python, R, SQL (advanced) Preferred: Snowflake Mindset : Trusted advisor who ensures models are not just built, but embedded and understood. Education : Degree in data science/analytics (preferred). 📩 Interested? Drop me More ❯

who blends technical expertise with commercial and people-facing skills. Experience : 5–6+ years in advanced analytics, predictive modelling and/or decision modelling. Technical skills : Must-have: Python, R, SQL (advanced) Preferred: Snowflake Mindset : Trusted advisor who ensures models are not just built, but embedded and understood. Education : Degree in data science/analytics (preferred). 📩 Interested? Drop me More ❯

Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills More ❯

Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills More ❯

Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems Proven ability to deliver commercial value through pricing insight Proven ability to provide commercial uplift from research and development projects Strong people management skills More ❯

lab focused on discovery and pushing the boundaries of innovation. The ideal candidate will bring over years of experience in data science; fluency in data programming languages like Python, R, and SQL; a deep knowledge of machine-learning methodologies; and a successful track record of leading multiple projects and teams. A Master's degree in Data Science and experience with 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. Amazon is an equal opportunities employer. We believe passionately that More ❯