1 to 25 of 180 R Jobs in London

of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think More ❯

Developed Azure cloud experience for data storage and processing, considerations made for alternate cloud providers such as AWS and GCP. Substantial programming ability using languages/tools such as R, Python and C++ for data manipulation and scripting Solid understanding of relevant data governance, data quality, and data security best practices Strong problem-solving skills, and the ability to think More ❯

responsible use of data to drive growth. Do you have what it takes? You are familiar with or willing to learn a diverse range of technologies: Programming languages - Python, R Data Processing Libraries- PySpark, Pandas, SQL, etc Data Platforms - Databricks, RStudio Engineering Tools - Github, AWS, Terraform, DBT Data Visualisation - Power BI You have experience in Marketing Effectiveness and Marketing Mix More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom More ❯

business users Present findings and recommendations to non-technical stakeholders 3. Ideal Qualifications 5+ years of 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, and A/B testing Strong communication skills 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 ❯

Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in London office) Private Medical Insurance (including Dental and Vision) and Life Assurance More ❯

you have a knack for transforming data into compelling narratives through numbers and visualization, we want you Have you previously tackled challenges using coding, especially in SQL, Python, or R? Whether through academic endeavors or personal passion projects, we'd love to hear about your experiences. We are on the lookout for interns with excellent communication skills, able to convey More ❯

from data Prior experience and a strong understanding of data analysis software and programming languages including as a minimum Python, SQL and advanced Excel (additional tools eg. Tableau, Alteryx, R would be beneficial). Essential Ability to leverage data to drive both tactical and strategic decision-making, identifying opportunities for data-led approaches to improve outcomes Strong understanding of intelligence More ❯

grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals 100+ hours of live instructor-led online classroom 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 ❯

learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python or R, is a plus. Development experience with BI platforms such as Looker, Tableau, or Power BI. Benefits included for Data Scientist - Category Management : Comprehensive medical and dental insurance. Company Shares/ More ❯

Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/ More ❯

and skill development. Skills and Experience Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working More ❯

and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R, Powershell or VBScript In this role you will: Lead a team of analysts & engineers building and deploying innovative, scalable solutions for clients. Oversee the delivery of complex data transformation, analytics More ❯

brand or agency environment. Technical Skills: Proficiency in SQL databases and dashboarding software such as Power BI or Tableau is important. Familiarity with programming languages such as Python or R and their associated data analysis libraries (e.g., NumPy, Pandas, scikit-learn) is a plus. Statistical Expertise: Strong understanding of statistics, including descriptive statistics, regression, probability, sampling, and hypothesis testing. Communication 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 ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred More ❯

and data quality Basic knowledge of 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-motivated, focused, detail-oriented More ❯

experience as a Product Manager, preferably in backend, data platforms, or infrastructure-heavy products Very good technical data skills, including hands-on experience in SQL Experience with Python or R (mandatory) for understanding and working closely with data teams; familiarity with data visualization/BI tools is a plus Comfort with backend concepts such as data pipelines, APIs, distributed systems More ❯

Office Professional Skills Proficient in SQL Server Knowledge of SUS, SLAM, and PbR Desirable Advance excel including power query Knowledge of SSRS Knowledge of other coding languages (e.g. Python, R, VBA) Knowledge of QlikSense Knowledge of NHS data dictionary Education Essential Bachelor's Degree in technical field (e.g. maths, computer science) or equivalent experience as an analyst Evidence of continuing More ❯

labeling experts and technical teams Required Qualifications 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 methods and quality metrics Tools More ❯