1 to 25 of 704 R Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. Ability to communicate complex data insights clearly and effectively to stakeholders. Demonstrated experience in managing projects and collaborating 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 ❯

. 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

analytics adoption. Essential Skills & Experience • Proven experience as a Data Specialist, Machine Learning Engineer, or Advanced Data Analyst, preferably in an enterprise oneAdvanced environment. • Strong expertise in Python/R, SQL, XML, Azure ML, and Power BI. • Experience with Azure Data Factory, Synapse Analytics, and Dataverse. • Familiarity with the oneAdvanced data model (Finance, Supply Chain, HR, Procurement, etc.). • Strong 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 ❯