1 to 25 of 94 Remote R Jobs in London

Solution Development: •Design, develop, test, and deploy end-to-end Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it according to … optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality … PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a More ❯

and problem-solving skills while gaining experience in a fast-paced, data-driven environment. What You'll Do Data Analysis & BI Development Perform data analysis using SQL, Python/R, and visualisation tools such as Power BI. Assist in building and maintaining dashboards and reports to support business and client needs. Identify trends and patterns in data to provide actionable … business value. Our Ideal Candidate Some experience in data analysis or a related field (internships, coursework, or entry-level roles). Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualisation tools like Power BI is a plus. Strong analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal More ❯

learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including More ❯

impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Creative thinker with a proactive, results-oriented More ❯

SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical and problem-solving skills, with attention to detail Excellent communication and interpersonal skills for collaborating with cross-functional teams Requirements achelor's degree More ❯

trends and customer behaviour, and how these influence pricing decisions Eagerness to learn and grow, with support from experienced analysts and senior leaders Bonus Points For: Exposure to Python, R, or other data science tools Experience with data visualisation tools (e.g., Power BI, Tableau) Understanding of consumer finance or lending products Experience working with large datasets or in a regulated More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly … strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years … technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to More ❯

physical sciences with strong understating 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 ❯

AND EXPERIENCE ESSENTIAL CRITERIA: Demonstrated analytical expertise , with a strong track record of delivering complex analysis projects and applying robust data, testing, and measurement methodologies. Technically skilled in Python, R, and SQL , with experience using data visualisation tools like SAC, Power BI, and Tableau to communicate insights effectively. Strategic and innovative thinker , capable of introducing new analytical approaches and simplifying 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 ❯

and techniques to enhance audit processes. For example: Excel: Advanced skills in data manipulation, pivot tables, and data visualisation. SQL: Ability to query and analyse large datasets. Python/R: Experience with programming languages for data analysis and automation. Tableau/Power BI: Expertise in creating interactive dashboards and visualisations. ACL/Galvanize: Familiarity with audit-specific data analytics tools. More ❯

or business analysis within commercial, marketing, or product-focused environments, with a strong grasp of customer behaviour and business performance metrics. Technical proficiencyin Excel, SQL, and either Python or R, with hands-on experience using data visualisation tools such as Power BI, Tableau, or Looker. Strong understandingof marketing analytics, pricing strategies, and customer segmentation, with the ability to translate data More ❯

quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness More ❯

Value). Interpret data and technical information to support business decisions. What you will need to be successful Numerical: Proficient in advanced data analysis and visualisation using SQL, Python, R, Excel, and Looker; experienced with additional BI and analytical tools as required. Ability to present data clearly and accurately in presentations to internal and external stakeholders (Google Slides) High attention More ❯

or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work … tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO) Desired Skills and Experience 8+ … years in retail/FMCG customer insights and analytics Built customer segmentation, CLV, and propensity models in Python/R Designed and analysed A/B and multivariate tests for pricing and promotions Developed ETL pipelines and real-time dashboards in Tableau and Power BI Extensive SQL for large-scale data extraction and transformation Presented insights and recommendations to marketing More ❯

Data Curation Developer This role focuses on the technical experience required to curate (e.g. pre-process, harmonize, wrangle and contextualise) data to produce high-quality data assets for R&D analysis. The aim is to support GSK's Disease Area Strategies and other key R&D priority areas by making data analysis-ready, enabling efficient and effective decision-making across … benefits and life at GSK on our webpage Life at GSK GSK In this role you will Lead the development of business requirements for data curation through collaboration with R&D business and data platform teams. Maintain strong connections with analytical groups and R&D Data Platform teams to ensure seamless data integration and usage. Provide coaching and peer review … from countries that do not allow re-use). Write clean, readable code. Ensure that deliverables are appropriately quality controlled, documented, and when required, can be handed over to R&D Tech team for production pipeline implementation. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: BSc/MSc/PhD More ❯

or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work … tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related More ❯

understanding of data modelling principles, data dictionaries and key data modelling tools such as ER studio, Oracle SQL Developer data. Knowledge of SQL and other programming languages such as R and Python. Strong understanding of data management, data quality, master data management and other data governance principles. Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic More ❯

teams. What you’ll bring: Degree in a quantitative field (e.g. Maths, Engineering, Economics) Experience in forecasting, econometrics, or transport modelling Skilled in Excel, PowerBI; familiarity with Python or R preferred Confident communicator with board-level presentation skills Ideally from aviation, transport, infrastructure, or strategic consulting Why apply? Strategic, high-impact role at the heart of a critical UK infrastructure 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 ❯