1 to 25 of 93 R Jobs in the City of London

customer experience and satisfaction insights. What you can bring: Degree in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. More ❯

and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯

record in Data Engineering and supporting the business to gain true insight from data. Experience in data integration and modelling including ELT pipelines. Strong SQL, Python/Scala/R; experience with ELT pipelines and Power BI Solid knowledge of data Lakehouse architecture and Azure services Insurance or MGA data experience preferred Strong communication, stakeholder engagement, and problem-solving skills More ❯

time. Communicate complex analytical findings in clear, actionable terms for stakeholders across the business. YOUR SKILLS AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex More ❯

and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills 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 Lead Data Scientist – Category Management: Comprehensive medical and dental insurance. Company Shares More ❯

ideally in an agency environment Advanced knowledge of regression models , predictive analytics , and time series forecasting Proficient in SQL, Excel (including Power Query and PivotTables), and either Python or R Skilled in dashboard development using tools like Power BI and Looker Studio Strong understanding of CRM, digital, web, and social campaign metrics Comfortable presenting insights to senior stakeholders and cross 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 ❯

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 ❯

to Collibra or similar data governance tools is highly advantageous. Desirable Skills 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 ❯

of delivering enterprise-level BI and analytics solutions Proven line management experience, including mentoring and motivating technical teams Additional Key Skills: Proficient in SQL and familiar with Python or R for statistical programming and data analysis Solid understanding of data warehousing, data mapping, and logical data modelling concepts Demonstrated experience with Azure data tools (e.g., Synapse, Data Factory, DataLake, Databricks More ❯

accuracy. In-depth knowledge of machine learning algorithms, particularly tree-based models, and their application to structured data Familiarity with SQL and experience working with relational databases. Python/R programming experience (pandas, scikit-learn, matplotlib, etc) Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills to effectively collaborate with team members More ❯

the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

regulatory obligation as required by the role. What you can bring: Experience in working in the insurance industry, particularly in claims - beneficial Strong SQL skills and knowledge of VBA, R, Python a plus Expert knowledge of Excel, Word, and Access Team Player with good communication and presentation skills Strong planning and organization skills Ability to work with a variety of More ❯

Own and evolve our analytics and reporting capabilities in support of the CIO and research teams. Lead the development of proprietary tools and enhance our modelling capabilities using Python, R, SQL, NLP, and machine learning. Collaborate across data, infrastructure, and engineering teams to build scalable solutions. Guide the development of management reporting, investment KPIs, and external disclosures. Mentor a team … or wealth management. Strong grasp of data infrastructure, modelling, and financial datasets (e.g. Morningstar, Bloomberg, Datastream). Proficiency in Power BI, Alteryx, Snowflake , and advanced Excel. Coding in Python, R, and SQL is highly desirable. Understanding of ESG, performance, risk, and liquidity data. Excellent communication skills, with the ability to present complex findings to senior stakeholders. A natural leader and More ❯

and processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline development. Statistical analysis with R, SAS, Matlab. SQL and scripting with Python for data processing. Preferred Qualifications: Experience with AWS services like EC2, DynamoDB, S3, Redshift. Experience in data mining, ETL, and handling large datasets More ❯

Oracle, NoSQL etc. 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 Experience with SQL Experience in the More ❯

high-tech initiatives. Skills Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies. Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.). Experience with data visualization tool is plusExposure to online, mobile, and social More ❯

quantitative context on flow behavior and platform usage What You Bring 1–3 years of experience in a financial markets, e-trading, or data analyst role Proficiency in Python, R, or KDB+/q for data processing and visualization Familiarity with market microstructure, FX trading conventions, or order routing logic Strong analytical skills and a bias toward proactive problem solving More ❯

timescales. Proven ability to tailor communication in a compelling way to both technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI More ❯

per week being in their London based office. Requirements: Extensive experience in a product analytics role, with proven experience driving product recommendations and outcomes Experience with SQL, Python or R for querying and/or analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A More ❯

years of experience in marketing mix/econometric modelling. Strong grasp of statistical modelling theory and hands-on delivery. Confident communicator and compelling storyteller with data. Skilled in Python, R, or SQL for data analysis and modelling (or keen to develop further). Experience with scenario planning and transforming complex data into client-ready outputs. Familiar with working in or More ❯