1 to 25 of 300 Permanent R Jobs in London

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 ❯

to both technical and non-technical audiences, including frontline bankers. Skills & Experience: Technical Expertise: Proven expertise in data science, machine learning, statistical modeling, and predictive analytics. Proficient in Python, R, and SQL. Hands-on experience with big data (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP), and data visualization tools (Tableau, Power BI). Domain Knowledge: Deep understanding of Corporate More ❯

learning, statistical modeling, and predictive analytics, with practical experience overseeing the application of these techniques to complex business problems. Technical Acumen: Strong command of data science programming languages (Python, R, SQL) and experience with big data platforms (Hadoop, Spark) and cloud environments (AWS, Azure, GCP). Familiarity with data visualization tools (Tableau, Power BI). CIB Domain Mastery: Expert-level 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 ❯

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 ❯

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 ❯

computer science, mathematics, statistics, or data science Strong analytical and problem-solving skills with experience in statistical analysis and machine learning Proficiency in programming languages such as Python or R Excellent communication skills with the ability to clearly convey technical concepts to both technical and non-technical audiences Experience with data visualization tools such as Tableau or Power BI is More ❯

to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency 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 ❯

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 ❯

acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. More ❯

acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. More ❯

for the role. 4+ years of professional experience in data quality management, reference data, or data governance. Hands-on experience with data profiling/analysis tools such as Python, R, or SQL. Familiarity with ETL processes, data pipelines, and workflow design. Experience with data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insights. Proven ability to collaborate 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 ❯

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 ❯

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 ❯

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 ❯

quality, random sampling, and data modeling Proven experience analyzing financial datasets or applying financial market concepts Hands-on experience with data profiling and analysis using tools such as Python, R, or SQL Strong ability to communicate results clearly and concisely through data visualization tools Demonstrated ability to apply logical reasoning and critical thinking to solve complex problems *Please note we 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 ❯

Power BI, Tableau, Looker). Hands-on experience with digital marketing data sources (Google Ads, Meta Ads, GA4, CRM systems and CDP platforms). Working knowledge of Python or R for data analysis and automation. Knowledge of paid digital media, Understanding of marketing analytics concepts (CPA, ROI, funnel analysis, attribution, CLV). Strong interest in AI and automation, with a More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯