1 to 25 of 646 Permanent R Jobs in London

and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud More ❯

quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale More ❯

Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization). - Experience with R, Python or other statistical/machine learning software. - Be self-driven, and show ability to deliver on ambiguous projects. Amazon is an equal opportunities employer. More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical More ❯

experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent More ❯

experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in R and/or Python Experienceapplying advanced analytics and Machine Learning to solve businessproblems Experiencewith data visualization software/libraries (Tableau, PowerBI) Comfortworking both on a More ❯

academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are More ❯

upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new More ❯

advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project More ❯

advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional leadership, project More ❯

opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data visualisation tools such as Tableau or Power BI. Experience with More ❯

What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights More ❯

What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights More ❯

What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights More ❯

What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights More ❯

Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. More ❯

qualified UK actuary (Fellow of IFoA preferred) Minimum 5 years of relevant actuarial experience with strong focus on pricing and modelling Programming skills in R and/or Python Experience with technical platforms, pricing systems, or analytical infrastructure Experience with modern data architecture, APIs, and cloud-based solutions Project management More ❯

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. More ❯

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. More ❯

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. More ❯

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. More ❯

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. More ❯

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. More ❯