1 to 25 of 154 R Jobs in London

skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint ...

skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) Experience building, managing, and maintaining database structures to support analysis Advanced Word, Excel, and PowerPoint ...

developing/implementing data strategies. Proficiency in web analytics solutions (e.g., Google Analytics, Adobe Analytics, ContentSquare), data analytics tools/languages (SQL, Python, R, SAS), and data visualization platforms (e.g., Tableau, Power BI). Strong understanding of statistical methods, machine learning, data mining techniques, data warehousing solutions, big data technologies ...

with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modell ing.Proficient in programming languages such as Python, R, and SQL for data analysis and model developm ent.Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like ...

data governance, data privacy, and security regulations relevant to the policing or public sector environment. Expertise in using analytics tools and platforms (e.g., Python, R, SQL, Power BI, Tableau) to extract, transform, and visualise data. A relevant degree in Data Science, Statistics, Mathematics, Computer Science, or a related field ...

Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial ...

learning engineering, with a proven track record in the financial services industry or similar complex domains Technical Mastery: Demonstrated expert proficiency in Python and R, including hands-on experience with leading ML frameworks (Scikit-learn, PyTorch, Keras), data engineering tools (SQL, Spark), and cloud platforms (AWS, Azure, GCP). Deep ...

Present findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation ...

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. ...

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 ...

Agile project management methodology and artefact style such as user stories Skilled in data analysis tools such as Informatica Analyst, Alteryx Designer, Python, R, Microsoft Excel VBA, SQL Basic skill in using reporting tools such as Cognos Query Studio, Power BI and Tableau Strong interpersonal skills and client oriented Self ...

modern tools and techniques to analyse data, as well as excellent skills in querying and reporting on datasets through modern tools such as R, Python etc, including creating dashboards and visualisations. Substantial experience of working in data and analysis in a local authority or housing organisation would be highly desirable. ...

modern tools and techniques to analyse data, as well as excellent skills in querying and reporting on datasets through modern tools such as R, Python etc, including creating dashboards and visualisations. Substantial experience of working in data and analysis in a local authority or housing organisation would be highly desirable. ...

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. ...

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 ...

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 ...

Must-Have Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation ...

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 ...

dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience ...

dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience ...

security clearance. Proven experience analysing large datasets in complex or regulated environments. Proficiency with analytical tools and languages (e.g. SQL, Power BI, Python, R, or advanced Excel). Ability to interpret operational, financial, and performance data to inform design or policy. Strong stakeholder engagement and communication skills. Proactive, self-motivated ...

tables, macros, advanced formulas). Ability to translate complex data into clear recommendations with excellent communication skills. Knowledge of statistical analysis or Python/R (desirable but not essential) Experience in market analysis, business insights, or PR analytics preferred. Comfortable working in a fast-paced, data-centric environment. At Lomond ...

managing complex datasets. Must have prior experience in radio, audio, or broadcast media. Exposure to sales data, advertising revenue, or commercial analytics. Python, R, and Power BI experience is desirable. HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this ...

learning concepts, especially as applied to risk modelling and predictive analytics. Experience with cloud platforms and modern data tools (e.g., Microsoft Fabric, Power BI, R Studio). Understanding of data governance, security, and ethical considerations in handling sensitive information. Ability to communicate complex technical concepts clearly to both technical ...

Reasoning, text-embedding-ada-002 Libraries & Tools - numpy, pandas, scipy, scikit-learn, tensorflow, keras, nltk, matplotlib, seaborn, plotly Programming Languages - Python, R, C++, C#, Java, Node.js, HTML, SQL Agentic AI - OpenAI Agents SDK, Model Context Protocol (MCP), LangChain, LangGraph, Bedrock Agents, CrewAI, Helicone ...