31 to 55 of 337 R Jobs in England

Master’s degree in business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

Proficiency in developing predictive and prescriptive analyses using advanced analytical techniques such as machine learning and predictive modelling. Strong programming skills in languages like R, Python, and SQL. Interest in a range of machine learning methodologies, with a focus on areas like natural language processing or computer vision. Solid understanding more »

or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED more »

experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies. Strong proficiency in Python, R, or similar languages, with experience in relevant quantitative finance libraries and frameworks. In-depth understanding of financial markets, instruments, and risk management principles, as well more »

to optimize data analysis. - Collaborate with engineering and product teams to implement models into production systems. - Clean, process, and analyze large datasets using Python, R, SQL, and TensorFlow. - Present findings and insights to non-technical stakeholders in a clear and compelling manner. - Continuously enhance models based on feedback and real more »

develop and implement quantitative models and strategies. Conduct data analysis and research to support investment decisions. Utilize programming languages such as Python, SQL, and R to manipulate and analyze data. Assist in the development and maintenance of algorithmic trading systems. Stay updated on industry trends and advancements in quantitative finance more »

or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with more »

tools, providing valuable insights and recommendations. Work with modern & traditional database technologies and tooling, such as SQL, MongoDB etc as well as using Python, R, Tableau, Power BI. Utilise and expand project management skills in a dynamic startup environment Hybrid 3 days a week office based, so you can equally more »

analytical skills, problem solving, and decision making. Experience with data analysis and visualization (such as Tableau or Power BI) and statistical packages (such as R, SPSS). Proven ability in creating detailed business analyses, business requirements (including documentation), business process mapping, and workflow analysis. Next steps If you're interested more »

making and its associated algorithms is essential Strong understanding of financial markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied more »

SSAS). Write complex M query and DAX calculations to manipulate and transform data for analysis and reporting purposes. Integrate Python and/or R scripts into Power BI for data transformation and data visualization. Optimise performance of Power BI reports and dashboards to ensure fast load times and smooth more »

in numerate/programming-oriented subject, or able to demonstrate equivalent knowledge through industry experience Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling Able to communicate complex technical concepts to specialist/ more »

or equivalent experience essential Significant experience with digital programmes and project working environments Experience using data science programming languages, such as SQL, Python, and R Proven understanding of industry standard processes for data governance and infrastructure Experience leading the planning and task management of Data Engineering/Science projects Demonstrable more »

strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working An opportunity more »

in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm. Strong programming skills in languages such as Python, R, or C++ for data analysis and model development. Deep understanding of financial markets, trading dynamics, and risk management principles. Excellent quantitative and analytical skills, with more »

S marketplace preferable but not a requisite. Good knowledge of pricing techniques, tools and software with technical proficiency using one of more of SQL, R, Python, SAS or similar. Strong analytical, problem-solving and communication skills, with the ability to work independently and collaboratively dependent on the focus at any more »

tools, providing valuable insights and recommendations. Work with modern & traditional database technologies and tooling, such as SQL, MongoDB etc as well as using Python, R, Tableau, Power BI. Utilise and expand project management skills in a dynamic startup environment Hybrid 3 days a week office based, so you can equally more »

creating dashboards using Excel, SQL, and visualisation tools Preferred qualifications Prior experience as a capacity planner or S&OP analyst. Previous coding experience in R, Python, or VBA. more »

understanding of the impact insights and data have on business Very inquisitive – always asking questions and digging deeper Experience with SQL/Python/R would be advantageous but not essential If you are interested, get in touch with Sophie at Forward Role or apply to this advert with you more »

the business Ownership and influence of departmental budgets What we need to see (Essential): Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power BI Experience partnering with senior stakeholders Excellent collaborative working skills Strong communicator What we would like to see (Bonus): Proven track record of more »

experience in a data analysis reporting role - Significant experience writing SSRS reports and PowerBI - Understanding of industry standard technology eg. Tabeau, Power BI, Excel, R, Python, Air Flow, Spark - Experience and knowledge of creating and managing Dashboards - Demonstrate effective organisational skills and the ability to implement new systems of working more »

in numerate/programming-oriented subject, or able to demonstrate equivalent knowledge through industry experience. Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling. Able to communicate complex technical concepts to specialist/ more »

modelling Attribution modelling Multivariate model developments Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages (i.e. GA) Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs more »

Please register your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Insights more »

business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map more »