76 to 100 of 386 R Jobs in England

would be considered Working knowledge of at least one vendor model (i.e. RMS, AIR) Working knowledge of SQL; additional computer programming skills (e.g. VBA, R, python) would be beneficial If interested, please get in touch. more »

using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills in languages such as Python, R, or SQL. Must have experience working with CRM systems. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious more »

statistical knowledge and data visualisation techniques. Preferred Skills, Qualifications and Experience Experience in name matching algorithms or highly proficient in MS Excel, PowerBI, SQL, R or Python. Experience in delivering solutions through quantitative research using large data sources. Self-motivated to problem solve, research and deliver change within the department. more »

statistical knowledge and data visualisation techniques. Preferred Skills, Qualifications and Experience Experience in name matching algorithms or highly proficient in MS Excel, PowerBI, SQL, R or Python. Experience in delivering solutions through quantitative research using large data sources. Self-motivated to problem solve, research and deliver change within the department. more »

and motivate teams to achieve ambitious goals and drive results. Expertise in software development methodologies, tools, and technologies, including but not limited to Python, R, SQL, cloud computing platforms (AWS, Azure), and big data technologies. Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all more »

prioritize tasks • Familiarity with marketing analytics tools and techniques • Advanced Excel, PowerPoint, and Eviews (or other modelling software) skills • Knowledge of programming languages (e.g., R, Python) is a plus Please apply more »

background and numerical skills. Educational background in statistics, mathematics, data science, or engineering. Hands-on experience with statistical data programs such as SAS, SQL, R, or Python. Proactive, able to act on own initiative and deliver high-quality outcomes. Excellent communication skills, both verbal and written, with the ability to more »

or traditional market spaces. A strong academic background in Mathematics, Statistics, Financial Engineering, or a related field. Proficiency in programming languages such as Python, R, or MATLAB is foundational. A demonstrable track record of developing profitable quantitative strategies and models. Exceptional communication skills, enabling the translation of complex quantitative concepts more »

physical science discipline or equivalent experience. - Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (Julia, R, Swift Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Practical experience in agile project management and software development practices. more »

science discipline, or equivalent experience. - Demonstrable proficiency in at least one compiled language (e.g., C++, Fortran, C, Rust) or advanced scripting language (e.g., Julia, R, Python, Swift Parallel Scripting). - Strong experience with UNIX operating system, particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such more »

and keep abreast of external best practice globally and apply it as appropriate within Experian. More about you Experience in Oracle SQL, Python and R, exposure to data science & statistical packages would all be beneficial Strong business acumen and strategic thinking. Experience working in a Global Human Resources, Finance, Analytics more »

use of Business Intelligence tools for reporting, e.g. QlikSense, Power BI, SSRS, etc Knowledge of and ability to utilise statistical reporting solutions such as `R` and `SPSS`. Advanced level knowledge of MS Office, to include MS Excel, Word, and PowerPoint Knowledge Essential Detailed knowledge of the NHS data dictionary more »

aspects such as Solvency II internal models, ORSA and IFRS 17 Strong modelling skills with practical experience in at least one coding language (e.g., R, Python) would be preferred but not essential Understanding of the insurance industry and the challenges faced by our clients Highly motivated and willing to work more »

Understanding of power dispatch and demand modelling, including understanding of power dispatch optimization software, such as Plexos and Aurora. Programming languages (e.g. VBA, Python, R and/or SQL) proficiency is preferred Knowledge of several other European languages (beyond English) is a plus. We encourage applications from individuals of all more »

level (minimum) in a numerate or analytic discipline Experience working with large data sets on a daily basis, using the likes of SAS, SQL, R, Python Experience with Radar Experience developing statistical models and/or interpreting data and providing commercial insights on the back on analysis Experience in an more »

marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a more »

years of experience in a quantitative or finance-related discipline is a strong bonus. Strong programming skills in languages such as Python, R, or C++. Experience with data analysis and statistical modeling. Familiarity with machine learning frameworks and techniques. Excellent problem-solving abilities and attention to detail. Ability to work more »

validating credit risk models obtained from within a bank or a credit ratings agency. Some programming skills in a high-level language (e.g., Python, R, MATLAB, Excel VBA) and/or experience with econometric software packages (e.g., STATA, SAS). more »

departments. Qualifications: Degree in a numerical discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to more »

use of our Platforms. Upskill business users in analytical standards and data science tools and techniques. Experienced using one or more analytical tools e.g. R, Python, Tableau, Apache Spark, etc. Highly skilled in Azure Machine Learning and Azure DataBricks Knowledge and experience of how to maintain data, tools and processes more »

experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with more »

Coaching graduate analysts and support their development. YOUR SKILLS AND EXPERIENCE At least 3 years’ experience in general insurance pricing. Experience using SAS, Python, R or SQL. Experience in either Emblem or Radar is essential. Well versed in the UK personal lines insurance space and understand how the market works. more »

highly desirable but not essential Strong leadership and mentorship skills. Exceptional communication and interpersonal skills. Proficiency in data science tools and programming languages (Python, R, data visualization tools). Whats in it for you: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Competitive pension contributions more »

on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning/Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and more »

/Amazing Extras: Expertise/Technical role requirements: Analytical background including numerate degree (or equivalent experience) Data science skillset, including coding experience in Python, R or similar language Understanding of Artificial Intelligence and Machine Learning techniques and their application to business problems Development in cloud-based environments. Our Locations: We more »