9 of 9 Remote R Jobs in Manchester

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

the ability to present complex information in a clear, concise way to non-technical stakeholders. Desirable Skills & Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding More ❯

the ability to present complex information in a clear, concise way to non-technical stakeholders. Desirable Skills & Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding More ❯

Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other data analysis tools strongly preferred. Awareness of the tech industry landscape, including its challenges and dynamics. Exceptional problem-solving capabilities and meticulous attention to detail. Strong communication skills More ❯

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 ❯

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 ❯

across the Group. To be successful in this role, it's essential that you're able to demonstrate: Highly proficient in programming languages and tools such as SAS, Python, R, SQL, or similar. Strong understanding of credit lifecycle, regulatory frameworks (IFRS 9, Basel), and model governance. Strong understanding of the model development lifecycle and best practice to drive consistency and More ❯

is advantageous, though equivalent experience is welcome. A collaborative mindset, attention to detail, and a willingness to learn and grow. Experience with Phase I/Early Phase studies or R programming is a plus but not required. The Role: Statistical Programming Support : Develop, test, and validate SAS programs for datasets, tables, listings, and figures under the guidance of a Lead More ❯

candidate will be renumerated very healthily with all of the benefits associated with a Global Leader of Flow Control Technology. Please apply with the CV in English. Req ID : R-15913 Job Family Group : Sales Job Family : SA Business Development EOE including Disability/Protected Veterans. Flowserve will also not discriminate against an applicant or employee for inquiring about, discussing More ❯