51 to 75 of 576 R Jobs in London

and actionable results Strong communication skills Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Strong SQL skills required Experience in Python Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! Ideally a creative mind and head for news, helping us to uncover great rail storis to tell across the press, industry and government More information More ❯

physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R (data exploration, analysis, visualization). Strong experience of Tableau to pull data from various sources, develop and publish automated reports and dashboards. 5+ years of work experience in a relevant More ❯

would be great if you have: Familiarity with SQL and data integration techniques. Experience with Azure services (e.g., Azure Data Factory, Azure SQL Database). Knowledge of Python or R for data analysis. Familiarity with Agile development methodologies. Experience with other BI tools and technologies. A Bachelor's degree (ideally in Computer Science, Information Systems, or a related field). More ❯

SKILLS) Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or similar technical field/experience Hands-on data science expertise with code-based model development e.g. R, Python Strong knowledge of deploying end-to-end machine learning models in Databricks utilizing Pyspark, MLflow and workflows Strong knowledge of data platforms and tools, including Hadoop, Spark, SQL, and More ❯

quantitative discipline. You display strong business acumen and critical reasoning skills. You are familiar with data extraction, data modeling, data wrangling and visualization tools (e.g. SQL, Excel, Tableau, Python, R, etc.). You have a passion for driving business impact by leveraging data. You are self-motivated with a positive and can-do attitude, and the ability to drive success More ❯

to implementation. Proficiency in creating dashboards and interactive reports using BI tools such as Power BI, Tableau, Qlik, or Looker. Strong skills in querying and manipulating data with SQL, R, or Python. The ability to communicate complex statistical concepts and machine learning models to non-technical stakeholders through visualizations. Company: Graduate Recruitment Bureau (Hiring for client) Location: London, Any Salary More ❯

master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). More ❯

master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). More ❯

master's degree in Computer Science, AI, Data Science, or related fields . Expertise in large language models (LLMs) and prompt engineering for business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). More ❯

diverse customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an More ❯

JavaScript, HTML/CSS, T-SQL, and web services. Hands-on experience with SharePoint Online development and SPFx. Proficient in SQL and data modelling principles. Bonus: Familiarity with Python, R, ETL pipelines, and DevExpress controls. Comfortable working with Azure resources such as App Services, SQL DB, Blob Storage, and Data Factory. Experience using GitHub and Azure DevOps for source control More ❯

NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L earning as an umbrella term rather than a specialist term for state-dependent action set framework s Completing a module/thesis on this topic as part of More ❯

and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing More ❯

and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing More ❯

and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. Data Manipulation & Analysis: Strong skills in Pandas, NumPy, and SQL for handling and analysing More ❯

of the following: Technical Mastery: Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (e.g., Microsoft Fabric, Databricks, Snowflake). Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications. Strong knowledge of generative AI tools, geospatial analytics, and data modelling. Expertise in Power Platform and Apps components (e.g. Power Apps, Canvas More ❯

Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. More ❯

Apply locations UK - London time type Full time posted on Posted Yesterday time left to apply End Date: June 27, 2025 (28 days left to apply) job requisition id R-95353 Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. More ❯

and solution packages using Power Platform and SPFx. Strong experience in data analysis, data modelling, data architecture principles with proficiency in SQL and Data Warehousing principles Experience with Python, R and ETL (Extract, Transform, Load) processes for data cleansing Experience with REST APIs Experience with a .NET UI controls tool such as DevExpress is a plus Experience using version control More ❯

Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯

in using statistics, data & analytics for customer insights and recommendations Strong attention to detail, a problem-solving mindset and great critical thinking skills Experience in using SQL and either R or Python to analyse data Previous experience of using visualisation software (e.g. Tableau, RShiny, Power BI, Looker) Able to present to stakeholders confidently and good stakeholder management skills. What you More ❯

highly advantageous. Desirable Skills Experience supporting ECB onboarding and regulatory change initiatives. Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯