1 to 25 of 82 R Jobs in the UK with Remote Work Options

degree in economics, business, or a quantitative field (or equivalent experience)Experience with programming language is desired but not essential (e.g. SAS, SQL, Python, R etc.)Some background in data analytics, gained from either professional experience or academic studyHave a keen interest to further develop your analytical skills and desire more »

data from multiple sources Understanding of database management systems and ETL frameworks Knowledge of SQL, M Query and DAX, ideally with some capability in R scripting Ideally some experience in a professional services sector, providing analysis of labour metrics and capacity management Skilled in business analysis, translating business requirements into more »

Knowledge of SQL databases and experience in querying, extracting, and manipulating financial data from relational databases. Familiarity with programming languages such as Python or R for data manipulation, automation, and statistical analysis is beneficial. Demonstrable experience in leading and managing projects related to data and reporting automation, from inception to more »

of Data Science experience • Essential to have at least 1 years’ experience in credit modelling • Strong SQL • Strong skills in Python/SQL or R • Strong understanding of data warehousing • AI Tooling • Good understanding of Credit Bureau Data The environment is that of Facebook or Google, relaxed open with time more »

the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI * Working with big data technologiesMust HavesTo be successful, it is essential you have the following … Some of our roles may be subject to successful background checks including a DBS and Credit Checks.Job Summary65,000 to 75,000 GBPOther RoleSkills: R, Python, SQL, statistic modelling, AI, Machine learning techniquesLevel: Senior 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 »

using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills in languages such as Python, R, or SQL. Must have experience working with CRM systems. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious 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 »

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 »

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 »

the right candidate. Requirements: Significant experience in Data Science, preferably with a prior experience in or working for a Market Research driven organisation Python, R, SQL, SAS Strong, comprehensive technical understanding of data science concepts and processes Experience working in a client facing capacity Exceptional communication skills Alongside a competitive 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 »

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 »

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 »

of using SQL.It would also be nice for you to have.AI and ML knowledge and preferably hands on experienceExperience of using Python, SAS and ‘’R’In depth FC knowledge including Anti-Money Laundering, Sanctions and Anti-Bribery & CorruptionExcellent communications skills, including the ability to explain technical terms in non-technical more »

Coaching graduate analysts and support their development. YOUR SKILLS AND EXPERIENCE At least 3 years’ experience in general insurance pricing. Experience using SAS, Python, R or SQL. Experience in either Emblem or Radar is essential. Well versed in the UK personal lines insurance space and understand how the market works. more »

degree in economics, business, or a quantitative field (or equivalent experience) Experience with programming language is desired but not essential (e.g. SAS, SQL, Python, R etc.) Some background in data analytics, gained from either professional experience or academic study Have a keen interest to further develop your analytical skills and more »

in an industrial or business environment, including an appreciation of the factors that lead to successful outcomes. * Strong programming skills, preferably in Python or R, and the ability to capture mathematical and statistical models in software. * Motivation to succeed in tackling high-value business challenges, and the ability to work more »

within motor insurance Are a qualified or nearly qualified actuary, or qualified by experience Have plenty of experience using SQL, as well as some R or Python and Earmix Have built and worked with pricing models such as generalised linear models (GLMs), gradient boosting models (GBMs) and other machine learning more »

using Talend, Alteryx or SSIS etc. SQL and knowledge relational databases. knowledge of Git or other source control software. Experience with coding (e.g. Python, R, Java) desirable. Exposure to agile methodologies, preferably Scrum desirable.What you'll get in return for you experience A based salary of up to £45k plus more »

with media reach curves. Has keen eye on bringing analysis to life. Interest in media optimisations and supporting businesses using data. Working experience with R, Eviews, or VBA Excel. Grasp of statistical and optimisation techniques and bringing value to clients. Interest in supporting junior team members and ensuring deliverables are more »

visualisations that are userfriendly, actionable, and accessible to stakeholders. Technical Expertise: Utilise advanced technical skills in data tools and programming languages (e.g., SQL, Python, R) to manipulate and transform data effectively. Data Cleaning: Clean, pre-process, and transform raw data to ensure accuracy, consistency, and completeness. Data Integration: Integrate data … experience in data reporting and analysis, with a strong focus on marketing and sales. Proficiency in SQL and data analysis tools such as Python, R, or similar. Experience with data visualisation tools (e.g., Tableau, Bright Analytics) and dashboard development. Experience with SalesForce.com reporting and dashboarding modules. Strong attention to detail more »

qualification with extensive relevant post-qualification experience. Confident in understanding of Pricing & Actuarial software such as Emblem and RadarExperience using tools such as Python, R, SQL, SAS,, Excel, VBAStrong business acumen What we will offer you Recognised and rewarded for a job well done, we have a range of flexible more »