1 to 25 of 134 Permanent R Jobs in London

as SQL Server, Oracle, or MySQL. Solid understanding of data management principles and procedures. Proficient in digital security measures and data protection protocols. Knowledge of programming languages like Python, R, or VBA is considered a plus. Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened More ❯

or related roles—ideally within fintech, pensions, insurance, or employee benefits domains. Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization More ❯

cleaning, modelling, and business intelligence reporting.* Strong attention to detail and problem-solving skills.* Excellent communication skills - able to present findings clearly to non-technicalstakeholders.* Knowledge of Python or R for data analysis is desirable but not essential.* Experience within the travel, tourism, or hospitality sector is an advantage.* Revenue and Yield Management experience beneficial but not a requirement.* Knowledge More ❯

modelling, and business intelligence reporting. Strong attention to detail and problem-solving skills. Excellent communication skills - able to present findings clearly to non-technical stakeholders. Knowledge of Python or R for data analysis is desirable but not essential. Experience within the travel, tourism, or hospitality sector is an advantage. Revenue and Yield Management experience beneficial but not a requirement. Knowledge More ❯

Key Accountabilities include; Data Analysis: Analyse user behaviour, product usage, and feedback to generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product lifecycles User Research: Conduct qualitative and quantitative research to understand user needs, behaviours and pain points in relation to AI-driven More ❯

statistical modelling, including regression techniques, MMM, and A/B testing. Proficiency in SQL and familiarity with modern data warehousing platforms (e.g., Snowflake). Strong capability in Python or R for analysis, modelling, and automation. Skilled in data visualisation tools such as Looker or Tableau. Excellent communication skills with the ability to simplify complex findings and deliver strategic recommendations. Proven 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 ❯

field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with SQL, Python, or R for data analysis is highly desirable. Basic understanding of financial principles and metrics. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to present data More ❯

with BI/visualisation tools such as Looker, Tableau, or ThoughtSpot. Practical experience with A/B and MVT testing, from setup through to interpretation of results. Familiarity with R or Python for advanced analytics, modelling, or automation (desirable, not essential). Strong commercial awareness, problem-solving mindset, and critical thinking skills. Excellent communication skills, able to present findings clearly More ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities — handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

in partnership with engineering and tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality More ❯

as Fabric and Azure Data Factory) Applied knowledge of data visualisation tools, principally PowerBI Knowledge of SQL and NoSQL databases Proficiency in using query languages such as SQL, Hive, R Ability to produce and understand where to use different types of data models Ability to clean, integrate and scale data sets and pipelines Ability to fix problems in data sets More ❯

of churn, LTV, retention, and experimentation. Experience with a data visualisation or BI tool (they use Mode, but open to others). Familiarity with tools such as Amplitude, Python, R, or dbt a plus but not essential. Confident communicator able to translate data into stories and influence stakeholders. A proactive self-starter who thrives in a fast-paced, scaling environment. More ❯

Mix Modelling and marketing effectiveness frameworks. Strong SQL skills (high bar - candidates must be comfortable scoring 10-11 out of 15 on SQL assessments). Hands-on experience with R or Python for statistical modelling. Strong experimentation background (A/B testing, geo-testing, incrementality). Excellent communication skills - able to simplify complex models and influence senior, non-technical stakeholders. More ❯

teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Product Data Scientist will have the following skills and experience: Experience within Product Analytics/ More ❯

to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on QRM experience (configuring models, running sensitivities/scenarios, interpreting EVE/NII). Programming: Proficient in Python, R, or similar. Risk Framework: Strong understanding of risk measurement's link to management actions (limits, stress testing, ICAAP). Regulatory: Familiarity with EBA/ECB IRRBB & CSRBB requirements. Communication: Exceptional More ❯

team of analysts, fostering curiosity and innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required – focus purely on insights and impact. About You 5+ years’ experience in analytics, insights, or data More ❯

team of analysts, fostering curiosity and innovation. Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes. Tech Environment Tools: SQL, GA4, BigQuery Languages: Python, R Environment: Modern data infrastructure with dedicated tagging and engineering support. No tagging work required - focus purely on insights and impact. About You 5+ years' experience in analytics, insights, or data More ❯

Fully Remote Very Competitive Salary and Share Scheme R programming with exposure to Integrated Pest Management (IPM) & soil research Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) & Soil Science Research & Solutions The Organisation Our client … and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management & associated soil science. You'll create and maintain the technical infrastructure that enables our sustainability experts and data … scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM) and soil science. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/CD systems to enhance team workflows Guide team members in code architecture, development standards, and deployment processes Serve More ❯

youll need Strong background in risk modelling and using these insights to inform business decisions Proven experience building risk models from scratch and enhancing existing ones Excellent skills in R, Python, or SAS Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes Ability to present to stakeholders and translate risk issues into More ❯

to help strengthen market position. Skills & Experience 1-3 years of experience in general insurance pricing or similar analytical roles. Strong data manipulation abilities with tools such as SAS, R, or Python. Understanding of predictive modelling approaches (e.g., logistic regression, GBMs). What's on Offer Hybrid & Flexible Working: Smart working options plus a minimum of 35 days' annual leave. More ❯

such as AI Collaborating with data professionals across Victim Support's national data function and within MOPAC's Data & Insight function You will need: experience using either Python or R to bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques extensive practical experience of using innovative platforms for data visualization including R Shiny, Power More ❯

quantitative research projects. Strong client management and presentation skills, with confidence at senior levels. Excellent storytelling and proposal writing ability. Proficiency with Q or similar analysis tools (e.g., SPSS, R, Excel-based). Ability to balance tactical and strategic work in a fast-moving environment. Commercial awareness and a proactive, hands-on approach. It's a bonus if you have More ❯

the business has established a strong reputation for its high levels of reseller service combined with specialist, technical support. We believe in the importance of P roactivity, strong stakeholder R elationships, a passion for S ervice levels and wanting to be more K nowledgeable than our competition on what we sell. This drives our day to day as a business More ❯

measurement, segmentation, attribution and KPI frameworks Develop actionable insight reports that improve campaign targeting, automation and retention outcomes Support CRM forecasting and predictive modelling using SQL plus Python or R Improve data quality, structure and consistency across CRM systems and marketing platforms Work closely with CRM, marketing and creative teams to embed data driven decision making Coach junior analysts and … in CRM analytics You 5+ years experience in CRM analytics or marketing data analysis, ideally within an agency Strong SQL and Power BI skills plus experience with Python or R for modelling Excellent knowledge of CRM performance metrics, customer segmentation and attribution Great storyteller who can translate complex data into clear recommendations for non-technical teams Comfortable managing multiple projects More ❯