1 to 25 of 550 Permanent R Jobs in the UK

minimum: Snowflake, SQL, Azure or AWS, Power BI and Python. The wider technology stack is: Visualisation tools- Power BI Data modelling tools- Python, R, Alteryx and Business Objects Cloud service experience - AWS and\or Azure Databases - SQL Server, Oracle, NoSQL Data Integration tools (Mulesoft, Fivetran, SSIS) Cloud based Big Data ...

Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting ...

skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint ...

tools Proficient in using business intelligence tools such as Tableau or Power BI Experience with data modelling and database design Knowledge of Python or R programming for data analysis Strong data visualization skills and ability to create compelling, interactive dashboards Experience working with large datasets and performing complex data analysis ...

values Values | PA Consulting We use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply ...

values Values | PA Consulting We use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply ...

values Values | PA Consulting We use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply ...

values Values | PA Consulting We use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI. Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply ...

solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment ...

data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize ...

strategic direction. Deep familiarity with insurance data structures (claims, exposure, policy, reserving, capital, and investment). Strong knowledge of modern data tooling — Snowflake, Python, R, Power BI, SQL, and Azure — and how to deploy them at enterprise scale. Outstanding communication and stakeholder skills — confident engaging with executives, actuaries, and engineers ...

strategic direction. Deep familiarity with insurance data structures (claims, exposure, policy, reserving, capital, and investment). Strong knowledge of modern data tooling — Snowflake, Python, R, Power BI, SQL, and Azure — and how to deploy them at enterprise scale. Outstanding communication and stakeholder skills — confident engaging with executives, actuaries, and engineers ...

predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create ...

predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create ...

fintech, pensions, insurance, or employee benefits domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar ...

reporting.* Strong attention to detail and problem-solving skills.* Excellent communication skills - able to present findings clearly to non-technicalstakeholders.* Knowledge of Python or R for data analysis is desirable but not essential.* Experience within the travel, tourism, or hospitality sector is an advantage.* Revenue and Yield Management experience beneficial ...

Strong attention to detail and problem-solving skills. Excellent communication skills - able to present findings clearly to non-technical stakeholders. Knowledge of Python or R for data analysis is desirable but not essential. Experience within the travel, tourism, or hospitality sector is an advantage. Revenue and Yield Management experience beneficial ...

with energy and presence Highly Desirable: Subscription business or repeat purchase experience E-commerce or direct-to-consumer analytics Marketing analytics background Python or R for data analysis TECH STACK SQL (essential) | Power BI (migrating from Tableau) | Azure/Microsoft Fabric | Python (nice to have) | Social listening tools WHAT ...

Java) and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Ability in data science languages/tools such as R, SAS, or Excel Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Proficiency in the design and implementation of modern data architectures ...

Java) and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Ability in data science languages/tools such as R, SAS, or Excel Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Proficiency in the design and implementation of modern data architectures ...

expertise in marketing analytics, building MMM model via Meridian, Robyn and/or PyMc, multi-touch attribution, customer lifecycle modelling. Proficiency in SQL, Python, R, PySpark and dashboarding in PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning ...

cross-functional team environment. Attention to detail and commitment to data quality. Familiarity with CRM platforms and customer data management. Knowledge of Python or R for data analysis is a plus. Understanding of GDPR and data privacy considerations in marketing analytics. Interview Process This will be a two stage process ...

Proven background in using insight to tell a story, data analysis and presenting insights, working at a senior level Experience with Python or R Familiarity with data visualisation tools (Power BI, Tableau, Looker) Experience with cloud data platforms (e.g., Snowflake) Knowledge of financial services or commercial analytics is desirable What ...

capacity. Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment. Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling. Expertise in causal inference techniques and designing both randomized and quasi-experiments. Demonstrated ability ...

Skills: Proficiency in SQL databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., NumPy, Pandas, scikit-learn) is a plus. Statistical Expertise: Strong understanding of statistics, including descriptive statistics, regression, probability ...