1 to 25 of 650 Permanent R Jobs in the UK

the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive More ❯

likely bring: Experience in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive More ❯

years' experience in a Data Analyst or Business Intelligence role. Advanced proficiency in SQL and data visualisation tools (Power BI, Tableau, or Looker Studio). Experience using Python or R for analysis or automation. Strong understanding of digital marketing analytics (Google Analytics 4, Google Ads, Meta Ads, SEO/PPC metrics). Skilled in Google Tag Manager and familiar with More ❯

years' experience in a Data Analyst or Business Intelligence role. Advanced proficiency in SQL and data visualisation tools (Power BI, Tableau, or Looker Studio). Experience using Python or R for analysis or automation. Strong understanding of digital marketing analytics (Google Analytics 4, Google Ads, Meta Ads, SEO/PPC metrics). Skilled in Google Tag Manager and familiar with More ❯

or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication More ❯

or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication More ❯

. Strong analytical and problem-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 is an equal-opportunity employer. If More ❯

Services, Azure OpenAI, AI Search, Data Lake Storage, Data Factory, Databricks, HDInsight, Azure Synapse Analytics, Azure SQL Database, Functions, and Azure DevOps. Strong programming skills in Python, Java, Scala, R, or .NET/C# . Proficiency in SQL and database design . Solid understanding of data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data More ❯

visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or AWS Ambitious, with a desire to succeed in an entrepreneurial culture Ability to work under minimal supervision, plan work and managing own time More ❯

executive and client audiences. Commercially minded, with ability to identify value creation opportunities through technology enablement. Collaborative, innovative, and comfortable in a fast paced, evolving environment. Proficient in Python, R, or other data science languages; experience with LLMs and applied AI preferred. PhD in Data Science, Artificial Intelligence, Computer Science, or a related quantitative discipline preferred. Master's degree with More ❯

data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data More ❯

Strong SQL and data warehousing experience Solid understanding of ETL pipelines and data modelling Minimum 2–3 years in data analytics or BI roles Bonus points for Python or R knowledge Education & Certifications: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field Professional certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus What We More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

logit/probit) and non parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for 1 share purchase plans, an EV Scheme More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

the ability to present complex information in a clear, concise way to non-technical stakeholders. Desirable Skills & Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding More ❯

the ability to present complex information in a clear, concise way to non-technical stakeholders. Desirable Skills & Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding More ❯

to design, build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people, we strive to create a diverse and inclusive environment where everyone can More ❯

Degree in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science. Strong analytical and quantitative skills with excellent attention to detail. Proficiency in Excel ; familiarity with Python, R, Power BI, or SQL is advantageous. Clear and confident communicator, comfortable presenting insights to senior stakeholders. Intellectually curious, methodical, and motivated by solving complex problems. Genuine interest in predictive analytics More ❯

with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Snowflake, Azure/AxoWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version More ❯

AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like Python or R Excellent attention to detail and proven problem-solving skills Proficient at prioritising workloads effectively and using planning and collaboration tools e.g. JIRA, Confluence & Miro Desirable Prior experience using and building More ❯

of AI/ML applications in gaming and consumer facing platforms Technical proficiency: Required - Reporting/visualisation tools (Power BI/Tableau, etc.). Nice to have - SQL, Python, R and modern cloud data environments (e.g., Snowflake, Databricks). WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables More ❯