1 to 25 of 107 Permanent R Jobs with Hybrid or WFH Options

data warehouses, data pipelines, preferably in a Financial Services or Wealth Management environment. Systems/Internal Processes Familiarity with programming languages such as Python, R or Java and with data analysis libraries (e.g. Pandas, NumPy, scikit-learn). Understanding of database technologies (ETL) and SQL proficiency for data manipulation, data more »

analytics and mining web logs advantageous Knowledge of Business Intelligence strategies Skills Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Experience with data visualization tools, particularly Power BI Strong and demonstrable experience in T-SQL Data integration tech stack experience with MS SSIS 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 »

services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency in machine learning techniques and libraries for geospatial data analysis & modelling. more »

services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency in machine learning techniques and libraries for geospatial data analysis & modelling. more »

services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency in machine learning techniques and libraries for geospatial data analysis & modelling. more »

degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis and visualization tools (PowerBI); Knowledge of programming languages (e.g.: Python, R, etc.) oriented to statistical data analysis and visualization; Previous experience in Business Intelligence Environment; Experience working with relational databases; Fully proficient in English; Experience in 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 »

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 »

and information reporting. You are familiar with using SQL/T-SQL, or have equivalent coding skills. Possibly you will also have knowledge of R or Power BI. These technical abilities will be combined with an attention to detail and a confidence to prioritise your own workload whilst remaining calm 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 »

andCPDs Management experience with track record of building effective and happy teams. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Experience with data visualization tools, particularly Power BI Outstanding stakeholder management skills Excellent prioritisation skills, including effective communication of priorities Experience in analysis more »

experience with data visualization using Tableau, Quicksight, or similar tools with data modelling, warehousing and building ETL pipelines in Statistical Analysis packages such as R, SAS and Matlab using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling with SQL more »

experience with data visualization using Tableau, Quicksight, or similar tools with data modelling, warehousing and building ETL pipelines in Statistical Analysis packages such as R, SAS and Matlab using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling with SQL 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 »

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 »

flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics more »

translating data into compelling stories Strong understanding of all aspects of financial services A strong communicator with great influencing skills Desirables: Experience of GCP, R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictive modelling 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 »

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 »

years experience working data-driven organisations Expertise in data modelling and forecasting techniques Skilled in data tools and technologies such as SQL, Python, R, Tableau, PowerBI etc Experience with cloud-based data platforms Apply Now You can apply for this role now by sending us your CV or by calling more »

customers are concerned Proven experience in credit risk management, data science or collections strategy Strong SQL skills and advanced knowledge of Excel; Python/R experience desired but not essential Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or more »

skills & initiative whilst working to strict deadlines. Effective communication skills to help establish a network within the business. Knowledge of tools such as Python, R, or other analytical language/tools. Awareness of appropriate statistical techniques for insurance analysis. As a precondition of employment for this role, you must be more »

learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as Python, R, or SQL. • Excellent communication and collaboration skills, with the ability to translate technical findings into actionable insights for non-technical stakeholders. If this sounds like more »