1 to 25 of 105 R Jobs with Hybrid or WFH Options

collect, organise, analyse, and interpret large and complex data sets. • Proficiency in data management and analysis tools and programming languages such as SQL, Python, R, or SAS. • Experience with data visualisation tools such as Power BI (preferred), Tableau, or QlikView. • Solid understanding of statistical methods and techniques for data analysis. more »

in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency with Git or similar source control systems SQL and Database experience Main Duties The primary role of a more »

posed by large, intricate datasets. Exceptional communication and presentation skills, with an advantageous background in stakeholder management. Proficiency in programming and data handling using R, Python, or equivalent languages. Proven track record of developing end-to-end data science solutions, ranging from proof of concept to successful delivery. Preferred Experience more »

Exposure to project delivery methodologies (e.g. Agile/Scrum/Kanban/Waterfall) and collaboration tools (e.g. JIRA). Experience of using Python or R for data analysis and/or machine learning. Prior experience of training users to self-serve using enterprise BI tools. Why choose Leeds Building Society more »

velocity data sets involving billions of records per day. You must be proficient in programming languages and tools for data analysis, such as Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive more »

Twilio Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. FB Ads Manager, LinkedIn, TikTok) Creating an inclusive environment We love what we do, and our people are what more »

Segment) Analytic platforms (e.g. Azure, Dataiku) Social analytics tools (e.g. Netbase, Quid, BrandWatch, Meltwater) Intelligence tools (e.g. GWI, YouGov, TGI) Data analysis tools (e.g. R, Python, SQL) Digital marketing platforms (e.g. FB Ads Manager (Meta), LinkedIn, Google Ads) Creating an inclusive environment We love what we do, and our people more »

Kimball, Inmon or Data Vault methodologies. Experience working with relational database platforms. Expert SQL skills Exposure to data engineering coding languages such as Python, R or Spark Awareness of AI/ML methodologies Experience with data visualisation tools such as PowerBI or Tableau. Experience of leading or mentoring a team more »

BI tools, such as Power BI. Excellent communication and stakeholder engagement skills. Proficient in SQL and at least one of the following: Python or R Knowledge with EV charging systems, retail applications, and renewable energy products is a plus. Azure certification Is a plus. Exposure to non-Azure technologies and more »

data science discipline or demonstrable equivalent experience Experience Essential Experience of using programming languages and statistical packages to solve problems using data e.g. Python, R, Stata Experience of developing machine learning tools to extract insights and provide recommendations from data Experience as a professional statistician/data scientist Experience of more »

a data-driven organisation, with expertise in service performance analytics and sales KPI monitoring. proficiency in data analysis tools and techniques, including SQL, Python, R, and statistical analysis software. experience in developing and implementing data strategies that drive business outcomes and enhance operational efficiency. in Power BI with the ability more »

Scientist , with a strong track record of developing analytical models and generating data-driven insights - essential. Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries - essential. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Experience with machine learning algorithms and more »

Stats, Maths, Computer Sciences) Experience in full-stack development and applying it to build science products (E.g. could include some or all Python/R, Linux scripting, SQL, Docker coupled with front ends such as Javascript) Some experience as a developer building data pipelines and schemas, with data WH implementation more »

a Data Scientist, with a strong track record of leading and delivering advanced data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure more »

process and analyse data efficiently Be a data modelling expert who can shape data for stakeholder needs using LookML/SQL/Python/R Proficient in using BI tools (e.g. Looker or similar) to build reporting dashboards and define metrics for end-user adoption Be detail-oriented with analytical more »

least 5/6 members. Experience with the likes of SQL, SQL Server, Postgres, Oracle Visualisation tools like Qliksense & Power BI Programming languages - Python & R Azure platforms (beneficial) Experience managing senior stakeholders and end-to-end projects QGIS or ArcGIS (beneficial) Please note that if you do not have experience more »

specifically applies to your role. Person specification: • Hands-on experience in a data or analytics function • Proficient with SQL, SSRS, Excel, Power BI, DAX, R, Python • Analytical mindset - you spot trends and notice details, and have a natural intellectual curiosity • You are a self-starter with an entrepreneurial spirit who more »

experience in delivering innovative and creative data science/advanced analytics solutions to address complex business problems, using coding in SAS/Python/R or similar Have deep knowledge of different advanced techniques, such as Gradient Boosting, Neural Networks, Support Vector Machines, unsupervised learning methodologies etc., including of their more »

for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies more »

for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies more »

for engineering practices, such as meta driven intelligent ETL and pipeline processes. oStrong skills in relevant programming languages, frameworks, and platforms including, SQL, Python, R, etc. oA strong track record of achievement in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies more »

team, leveraging your academic qualifications which will include - undergraduate degree in Mathematics, Statistics, Data Analytics, Insurance Risk Management or similar - CII certification - Python, SQL, R, Tableau, or similar visualisation tools Apply your understanding of, or experience working across, the underwriting process lifecycle Working with datasets to bring valuable insights to more »

context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data and Data Science related technologies, such as R or Azure Machine Learning, to design and implement predictive analytics models Excellent communication and problem solving skills There is a great opportunity for career development more »

to define needs and build data solutions to ensure a competitive advantage Collect and analyse datasets Leverage prior experience in the use of SQL, R, Python and data visualization tools Bring your understanding of the role of (insurance) risk underwriting, and develop data models to enhance the value of risk more »

e.g. neo4j, Azure Digital Twin and other Azure data technologies, Hadoop, Hive, and Spark etc) is a plus Coding capability, SQL and scripting in R or python is a plus Why Join our team? At bp, we provide an excellent working environment and employee benefits such as an open and more »