14 of 14 R Jobs in the City of London

data quality, security, and compliance in AI workflows. Monitor and optimize AI models for accuracy and performance. Nice-to-Have Experience with Python or R for advanced AI/ML scenarios. Exposure to cloud platforms (Azure AI, Azure Machine Learning). Knowledge of Power BI for analytics integration. ...

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 ...

/Azure data services) Advanced skills with Tableau, Power BI, or Looker, including data source optimization and dashboard automation Proficiency in Python or R for scripting, data analysis, and automation Familiarity with APIs, RESTful data integration, and Git-based workflows Experience with A/B testing frameworks, statistical analysis … Insights: Conduct deep-dive analyses and root-cause investigations to identify patterns, trends, and optimization opportunities across global support operations. Use SQL, Python, or R to build analytical scripts, support experimentation frameworks, and perform ad-hoc statistical analyses. Partner with Data Science teams to productionize analytical models or pipelines supporting ...

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 ...

Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial ...

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 ...

experience (joins, selects, data manipulation). Comfortable working with relational databases. Power BI for reporting and data visualisation. Nice to Have Python or R (interest is sufficient; not essential). Exposure to forecasting beyond basic historical analysis. IDEAL CANDIDATE PROFILE Midweight analyst with 3–5 years’ experience and proven delivery ...

charts, visualisation). SQL experience (joins, selects, data manipulation). Comfortable working with relational databases. Power BI for reporting and data visualisation. Python or R (interest is sufficient; not essential). Exposure to forecasting beyond basic historical analysis. WHY APPLY? Join a purpose-led agency where data directly influences real ...

looking for Strong background in analytics, ideally 6+ years in a subscription or customer-focused environment. Proficiency in SQL and Python or R, with experience using BI tools such as Power BI, Tableau, or Looker Studio. Confident with statistical analysis, predictive modelling, and translating insights into clear recommendations. Comfortable working ...

understanding of working with survey data, including wrangling, merging, cleaning and weighting and exposure to publicly available data sets and a strong proficiency in R or Python for analysis and visualisation, we are keen to speak to you. This will be a great fit for you if you are curious ...

Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial ...

Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets. Contribute to the design and implementation of scalable data science workflows and best … with the ability to explain complex concepts to non-technical stakeholders. Ability to align analytical outputs with broader business objectives. Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs). Familiarity with generative AI and prompt engineering. Experience with Azure Databricks ...

have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation ...

*Please note this is a training programme with career placement and fees apply* If you are looking to progress a career in computer programming or web development, then this training and placement programme is made ...