26 to 50 of 485 R Jobs in London

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 ❯

teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields More ❯

queries joining multiple datasets, ETL DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience using statistical tools such as Minitab - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/ 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 ❯

business intelligence, or a related field, preferably within the pharmaceutical or healthcare industry. Strong analytical and problem-solving skills. Proficiency in data analytics tools and software (e.g., SQL, Python, R, Tableau, Power BI). Excellent communication and presentation skills. Ability to translate complex data into actionable insights. Strong project management and organizational skills. Experience with data governance and data quality More ❯

analytics solutions. Proven ability to create and deliver presentations to audiences at all organizational levels. Excellent verbal and written communication skills. Proficiency with analytics tools such as SAS, Python, R, SQL, or similar. Demonstrated expertise in stakeholder management and strong influencing skills Ability to bridge the gap between development teams and business stakeholders by effectively translating technical concepts to business More ❯

. Proven ability to create and deliver presentations to audiences at all organizational levels. Excellent verbal and written communication skills. Proficiency with reporting & analytics tools such as SAS, Python, R, SQL, Power-BI or similar. Demonstrated expertise in stakeholder management and strong influencing skills Ability to bridge the gap between development teams and business stakeholders by effectively translating technical concepts 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 ❯

development, to understand data needs and deliver solutions. Support decision-making processes by providing timely and accurate data insights. Skills Required: Proficiency in data analytics tools such as Python, R, or SQL. 2+ years hands-on experience with data visualization platforms Tableau, Power BI, or Excel. Ability to manage multiple projects and meet deadlines. Excellent communication skills, with the ability 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 ❯

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 ❯

User Acquisition (UA) and/or Customer Relationship Management (CRM) concepts is advantageous. Proficiency in SQL and familiarity with data visualization tools like Tableau. Experience with statistical software (e.g., R, Python) and libraries for managing, manipulating, and analyzing data. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and More ❯

Scientist in a relevant field. Proficiency in data analysis, data mining, and statistical techniques. Attention to detail and ability to work with large datasets accurately. Proficiency in Python or R (5+ years' experience). Knowledge of statistical models such as linear and logistic regression, t-tests, ANOVA. Experience collecting, organizing, and analyzing data from diverse sources. Strong analytical, problem-solving 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 ❯

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 ❯

wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data More ❯

Enterprise AI Value Strategy Team Lead/Consultant Mid-Level Full time Job Role : Data & AI Consultant - R&D Location: London/Manchester/Edinburgh Career Level : Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our … discover, develop, and bring therapies to patients. At Accenture, we sit at the heart of this evolution-partnering with the world's leading pharmaceutical and biotech companies to reimagine R&D for a more predictive, efficient, and patient-focused future. Our Data & AI R&D team within the Strategy & Consulting practice is driving this change-combining deep scientific and clinical … who want to make real impact and shape the next generation of clinical innovation. In Our Team, You Will Gain Exposure To: The most strategic challenges in Life Sciences R&D, from improving trial recruitment and feasibility to optimizing global portfolio strategy Industry-leading AI platforms - such as our Faculty partnership- that simulate clinical trial scenarios and guide complex R 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 ❯

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 modeling. Experience with data visualization tools like Tableau or Qlik Sense. Experience analyzing financial datasets and understanding financial market concepts. Proficiency in Data Profiling/Analysis using Python, R, or SQL. Ability to communicate results clearly using data visualization tools. Strong logical and critical thinking skills for problem-solving. Preferred Skills: Interest and familiarity with generative AI frameworks. Knowledge 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 ❯

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 ❯