1 to 25 of 111 R Jobs in the South East

research, clinical care, and operational performance across the Trust. They will lead the adoption of best practices, develop automated data pipelines, and implement secure, scalable solutions using SQL, Python, R, and cloud technologies. The role includes building predictive and prescriptive models, deploying and monitoring machine learning applications, and applying advanced analytics to improve patient outcomes, service efficiency, and workforce wellbeing. 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 ❯

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 ❯

analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing More ❯

analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing More ❯

analytical role, focused on customer analytics Experience in customer focused projects such as customer lifetime value, propensity, churn, segmentation and more Strong SQL skills and proficiency in Python or R preferred Expertise in building interactive dashboards using tools such as Power BI, Tableau, or Looker Solid understanding of statistics and advanced analytical techniques Excellent stakeholder management skills with experience influencing More ❯

the right time Skills Data Analysis - Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau Data Modelling - Ability to perform statistical analysis and predictive modelling. Data Governance - Knowledge of data governance and quality assurance practices. Communication skills - collaborate with cross-functional 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 ❯

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 ❯

technical and non-technical stakeholders What We’re Looking For 2+ years’ experience across data with some experience with engineering, data science and predictive analytics. Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills More ❯

technical and non-technical stakeholders What We’re Looking For 2+ years’ experience across data with some experience with engineering, data science and predictive analytics. Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills More ❯

technical and non-technical stakeholders What We’re Looking For 2+ years’ experience across data with some experience with engineering, data science and predictive analytics. Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills More ❯

learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. Company Shares/ 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 ❯

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 ❯

As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation … recent graduate (or soon-to-be) in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, or a similar field Strong analytical and problem-solving skills Proficiency in Python or R, and familiarity with data libraries (e.g., Pandas, NumPy, Scikit-learn) Basic understanding of statistics, data modelling, and machine learning techniques Experience working with data (e.g., through coursework, projects, or internships More ❯

environment. Strong proficiency in SQL, Hadoop, and cloud platforms (preferably AWS). Experience with data mining, data modelling, and large-scale data processing. Familiarity with tools such as Python, R, and Power BI. Understanding of cloud architecture and deployment practices. Excellent communication and stakeholder engagement skills. Ability to work collaboratively in a fast-paced, project-driven setting. Desirable: Experience working More ❯

or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL, Python, R, or similar data analysis tools. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to translate complex data into understandable insights. We Offer: A competitive More ❯

data & analytics throughout the organisation, taking opportunities to elevate data literacy and generate excitement around the business problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Understanding of data product More ❯

in analytics or data science roles Experience in using customer analysis to identify commercial opportunities Excellent analytical thinking and problem-solving abilities Knowledge of programming languages such as Python, R, SQL etc. More ❯

driven strategies in a corporate setting. In-depth expertise in A/B testing, data analytics, statistical modeling, and data visualization. Proficiency in using analytics tools such as Python, R, SQL, or similar software. Exceptional communication and stakeholder management skills, with the ability to engage with technical and non-technical stakeholders effectively. Experience in the media industry or related fields More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯

or similar BI tools ✅ Experience building or working with data pipelines ✅ A track record of turning data into insights and business recommendations Nice to Have: Exposure to Python or R for statistical/data analysis Experience working with customer churn, loyalty, or retention metrics Background in FinTech or product-led environments About You: Proactive, self-starter who thrives in a More ❯