1 to 25 of 135 Remote/Hybrid Permanent R Jobs

have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms ...

discipline.**Desirable*** Exposure to modern data platforms such as Databricks.* Familiarity with data warehousing, data modelling, and cloud-based analytics environments.* Experience using Python, R, or other analytical programming languages for data analysis and automation.* Demonstrated ability to analyse customer, behavioural, operational, or product data to identify trends, opportunities, risks ...

building dashboards and visualizations in Looker . Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics. Key Competencies: Exceptional Communicator: Strong written and verbal communication skills; able to distill complex, technical data into clear narratives for diverse, global audiences. ...

machine learning, advanced analytics or a related discipline, with experience managing analytical projects from initiation to delivery Strong Python and SQL skills, or significant R experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical methods and experimental design ...

deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business using software such as Python, R, Azure, Databricks/other ML services, SQL, Tableau and Power BI. Development and delivery of new and innovative data science and machine learning tools ...

services or other modern cloud data platforms. SQL skills and experience working with structured, relational or integrated datasets. Proficiency in Python and/or R for data cleaning, transformation, statistical analysis, automation, modelling and repeatable analytical workflows. Working knowledge of developing semantic layers, Gold layer outputs, reusable data products ...

embedded into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

Code, Conda and GitHub, and working with command line tools and Unix‐based operating systems, including environment management. Experience using Python and R to develop and deploy models in cloud environments (Azure experience is advantageous). Understanding of machine learning lifecycles and MLOps principles. Experience working with databases, APIs ...

sites or in our office, with hybrid work plan of at least two days per week. Use tools such as Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high‐performance applications. Qualifications Essential requirements A degree, Masters or PhD in data science, mathematics, operational research ...

similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks ...

practices. Your qualifications and experience ESSENTIAL Pro at using SQL for data manipulation (PostgreSQL, MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong ...

practices. Your qualifications and experience ESSENTIAL Pro at using SQL for data manipulation (PostgreSQL, MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong ...

within a Microsoft Fabric cloud-based environment is desirable. Expertise in technical scripting, data querying languages and/or statistical software (e.g. SQL, Python, R, Spark Notebooks) and experience implementing best practices, guidance, and standards. Microsoft Excel skills for data manipulation, analysis and reporting. Ability to follow defined processes, standards ...

curiosity for solving business problems. Ability to communicate complex problems to non-technical audiences. Experience with at least one programming language (e.g. Python, R, Stata). Able to understand statistical concepts and how these apply to business problems (e.g. regression analysis, machine learning). You must have achieved a grade ...

deeply cares about its values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply as we are often ...

Server core data platform, with the opportunity to expand your horizons by contributing to work across our full stack — C#, Python, Node, React, R, and Machine Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside our SQL Server core. What ...

related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries and frameworks. Detailed understanding of data mining, data warehousing, and data visualisation techniques. Knowledge of Artificial Intelligence ...

related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries and frameworks. Detailed understanding of data mining, data warehousing, and data visualisation techniques. Knowledge of Artificial Intelligence ...

classification, clustering, dimension reduction and other machine learning techniques. Strong programming capability and experience writing efficient, maintainable code in collaborative environments. Advanced Python and R expertise. Experience working with modern development tools and practices, including GitHub, VS Code, Conda and cloud environments. An ability to balance technical rigour with practical ...

insights from them. Knowledge of customer segmentation and personalization strategies, possibly using CDP (Customer Data Platform) tools like BlueConic. Programming skills in Python or R for advanced data analysis or to implement custom predictive models beyond basic SQL (e.g., using libraries for churn modeling or LTV projections). Experience analyzing ...

data technologies and ecosystems such as Microsoft Synapse/Fabric/Databricks, Hadoop, Spark, Kafka, and others. Experience with programming languages such as Python, R or SQL Solid understanding of database design and theory, including SQL and NoSQL technologies Knowledge of data engineering principles, including ETL design and data lifecycle ...

diverse, evolving, and dynamic client environments. Workingknowledge of key analytics tools such as: Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced ...

performance. Knowledge of GDPR and data compliance best practices. Experience working with Customer Data Platforms (CDPs) and audience activation workflows. Knowledge of Python or R for analytics, automation or advanced data modelling. Exposure to predictive analytics, machine learning or AI-powered analytical techniques. Experience analysing customer, CRM or digital marketing ...

working with version control and CI/CD pipelines (e.g. Azure DevOps, Git) Excellent programming skills in both SQL and Python with experience in R being desirable Hands on experience building ELT data pipelines Familiarity with AI/LLM-based tooling or applications Excellent problem-solving skills and a practical ...