1 to 25 of 92 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 »

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 »

field, preferably in the fintech industry. Proven track record of leading and delivering successful data science projects. Proficiency in programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. 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 »

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 »

MS Excel. Experience using other MS Office suite tools (PowerPoint, Word). Excellent spoken and written communication skills. Familiarity with analytical programming languages (Python, R, Julia). Experience with BI software (Power BI, Tableau, Qlik Sense). Knowledge and experience of dimensional modeling. Familiarity with working in an agile team. more »

communication skills; as well as the ability to make good judgement and work with both technical and business personnel Working knowledge of SAS and R code used in data processing and modelling tasks Remarkable experience with Microsoft Azure platform (Databricks, AzureDevOps, Data Factory) Proficiency in SQL, Python, Spark (with either 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 with data modeling (dimensional modeling), warehousing, processing (MapReduce), and transformation techniques. Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia). Advocate of IAC principles and best practice coding (GIT, SVN). Ability to optimize workflows and analysis for MapReduce processing. Proficiency with more »

Data Engineering tools Essential Experience in Microsoft Data Engineering tools (in SQL Server, Azure Synapse/Data Factory, SSIS) Desirable Demonstrable knowledge of Python, R or another programming language Developing ETL Solutions and Data Modelling Essential Experience in the successful implementation, use and maintenance of data warehouse solutions. Practical experience more »

and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »

and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »

and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »

data. Experience with working in a Unix-like and high-performance computing (HPC) environment on-premises and/or in the cloud using Python, R and other scientific computing languages. Track record of publications and presentations at national and international conferences and industry events. Our Benefits CSL Seqirus employees that more »

services Any cloud knowledge beneficial - Azure, AWS etc A grounding in maths, stats or software or data engineering Any experience of SQL, Python or R would be advantageous If you are a Data Analyst or Data Engineer and looking for an opportunity to grow and progress your career then apply more »

with probabilistic modeling and risk management techniques. Experience in risk management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »

business functions such as sales, content, product or finance department to deliver actionable insights from data * Strong technical skills with experience using Power BI, R, Python and SQL * Excellent communication skills * Strong personal skills in order to develop good internal working relationshipsThis is just a brief overview of the role. more »

for the role.); Ideally have Advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be consider (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes; Experience writing technical documents that meet internal and regulatory standards. Experience 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 »

particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML more »

particular reference to the required data structures, formats and hygiene.· Au fair with how current machine learning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem· Experience with the tools used to validate, monitor and deploy ML more »