51 to 75 of 440 R Jobs in the UK excluding London

and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills, with confidence engaging More ❯

etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e., Pivot Tables and V-Lookups Working knowledge of one or more of the following is advantageous: SQL, R, Python, C++, Java Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance, and provide insightful recommendations Ideally, you will drive and have your own More ❯

Power BI Expertise Strong experience with Power BI, including Power Query , DAX , data modelling, and dashboard design. Technical Skills Proficiency in SQL and VBA , with exposure to Python or R desirable. Marketing Knowledge Solid understanding of digital marketing concepts, tools, and performance drivers. Communication Confident communicator with the ability to explain technical insights in plain language, challenge assumptions constructively, and 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 ❯

degree in a quantitative field (Master's or PhD preferred) At least 6+ years of experience applying machine learning and predictive analytics techniques Strong programming skills in Python or R Experience leading end-to-end analytics and data science projects Knowledge of the pharmaceutical industry and go-to-market strategies Excellent communication skills with ability to simplify complex results Are More ❯

years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. More ❯

years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. More ❯

years’ experience in a Data Science role, ideally in a commercial or technology-driven business. Strong statistical knowledge and ability to design and test hypotheses. Proficiency in Python or R, SQL, and modern data science libraries. Experience with machine learning techniques and real-world application. Ability to tell the story behind the numbers — distilling complex findings into practical business recommendations. More ❯

equivalent experience) in a numerical/statistical field Proven experience delivering analysis in a policy or regulatory setting Strong communication skills to explain data-driven insights Proficiency in Python, R, SQL, PowerBI and experience with large datasets Collaborative and adaptable working style Desirable: Knowledge of, Git, AzureDevOps, and Agile/DataOps practices.£41k - £52k per year plus benefitsPermanent positionHybrid working More ❯

unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech company. Proficiency in SQL, dbt, Python, R and BI tools such as Looker, Lightdash or Tableau. Ability to translate business problems into analytical tasks and communicate insights clearly at all levels. AB testing/experimentation experience Strong More ❯

ML technologies. Tech Stack & Tools Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools: Cloud: AWS/Azure DevOps More ❯

deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Proficient at communicating results in a concise manner both verbally and written Experience in data and model monitoring is a plus More ❯

Data PMO page is loaded Data PMOlocations: UK, London: UK, Yorktime type: Full timeposted on: Posted Todayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox About Hiscox We're a global, specialist insurer headquartered in Bermuda and listed on the London Stock Exchange. With 3,000 employees and offices in 14 countries we're a business More ❯

into compelling insights that inform strategic decision-making and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging … and problem-solving skills with a keen eye for detail. The ability to communicate insights clearly and persuasively to non-technical audiences. Experience with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure More ❯

an understanding of exposure management principles and application. Additionally, excellent analytical and data skills, Microsoft Excel abilities, experience of data visualisation tools and the ability to potentially code in R and/or Python will be advantageous. Core attributes required for this role include an enthusiastic team player, motivated self-starter, consistency in producing high-level results with an attention More ❯

define requirements. The ability to develop and maintain detailed project documentation, including business requirements, process flows, and data models. Proficiency in Data Analysis tools such as SQL, Python and R and the ability to write simple SQL scripts. Strong understanding of LLM. Strong knowledge of Healthcare & Insurance industry regulations and Data privacy standards. Previous experience implementing and managing Data governance More ❯

/reporting tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage More ❯

/reporting tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage More ❯

/reporting tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage More ❯

/reporting tools such as Tableau or Qlik . Experience building and maintaining data pipelines . Track record of turning data into actionable insights. Desirable: Experience with Python or R for statistical analysis. Experience in Fintech , particularly with customer churn and loyalty metrics. About You Highly personable team player with a can-do attitude . Able to prioritize and manage More ❯

Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards, and proficient in either Python, R, or both More ❯

and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a More ❯

and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a More ❯