1 to 25 of 80 R Jobs in London

Role Details Role/Job Title: Technical Product Owner (R based) Mode of Working: Onsite The Role Technical Product Owner (R based) Must have: Senior SME with R expertise (R modules, libraries, execution environment) with expertise in cloud concepts- containerization, Linux job scheduler and HPC Your Responsibilities Liaise with Business … responsibilities Tracking Progress and Ensuring delivery Clarifying doubts of Dev team related to requirements understanding Contribute to Design level discussions Develop and maintain robust R scripts for data analysis, modelling, and reporting Utilize key R libraries such as: tidyverse (data manipulation and visualization) data.table (high-performance data processing) caret/ ...

tools and technologies: Data Visualization: Tableau, Power BI, QlikView, Looker Data Transformation & Querying: SQL, M Code, DAX, or similar Automation Languages: Python, Java, C#, R, or similar Automation Tools: Power Automate, UiPath, Blue Prism, Alteryx, Zapier Workflow Automation/Scripting: VBA, Shell Scripting, JavaScript Experience managing or contributing to multiple ...

SSAS). Write complex M query and DAX calculations to manipulate and transform data for analysis and reporting purposes. Integrate Python and/or R scripts, and custom visuals into Power BI for data transformation and data visualization. Optimize performance of Power BI reports and dashboards to ensure fast load ...

call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data ...

Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP). Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering. Strong command of SQL and familiarity with data engineering environments such as Databricks ...

activity. Deep knowledge of NHS data flows, definitions and system architectures, including their constraints, data quality challenges, and interoperability considerations. Proficiency in coding (SQL, R, Python) and use of data analysis software (MS Fabric, Alteryx) Understanding of the NHSCFA data mandate, as provisioned by legislation and statutory mandate Knowledge ...

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 ...

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 ...

workflows and related tooling Strong familiarity with Python libraries and developer tooling Nice to Have Experience in investment or financial services environments Exposure to R or mixed-language analytics ecosystems Experience integrating GenAI tools into data or business workflows To apply for this role please submit your CV or contact ...

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 ...

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 ...

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 ...

Background in econometrics, MMM, or marketing effectiveness Degree in something analytical (e.g. Statistics, Economics, Data Science, Maths, Marketing Analytics) Comfortable with tools like Python, R, SQL, Excel, and data visualisation platforms Experience working with large datasets and building robust models Good understanding of regression, Bayesian approaches, and advanced analytics Able ...

stories for both technical and non technical audiences. Your Skills & Experience Strong commercial experience in data analysis or data science. Confident using Python or R for statistical analysis and modelling. Solid understanding of statistical methods and predictive modelling techniques. Experience working with SQL and data visualisation or BI tools. Ability ...

client delivery What they’re looking for: 1–3 years’ experience in data science, analytics, or marketing analytics (including internships) Strong skills in Python, R, SQL, or similar tools Exposure to statistical modelling (regression/econometrics) Experience working with marketing, media, or customer data (or strong interest in this area ...

product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling ...

knowledge of the entire data science lifecycle, including data engineering, machine learning, and MLOps. Programming and analytics: Proficiency in programming languages such as Python, R, or SQL, and experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch ...

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from ...

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from ...

experience preferred but not mandatory Excellent Data Analysis/Data Science skills and experience, including use of BI, Excel and other tools Strong Python, R, SQL skills and experience Experience extracting and collating data from multiple legacy systems Experience with Data Reporting tools (e.g. Tableau/PowerBI) Experience working ...

Mathematics, Statistics, Computer Science, Physics or Engineering 5+ years of experience as a Quantitative Analyst within the sports betting industry Proficiency in Python, R, Java and/or C# Experience with machine learning techniques and algorithms Strong communication skills with the ability to explain complex concepts to non-technical stakeholders ...

client stakeholders. Your Skills and Experience * Strong experience delivering data science solutions in client-facing or consulting environments. * Advanced capability in Python and or R, with hands-on use of modern machine learning libraries. * Deep understanding of statistical modelling, experimentation, and model evaluation techniques. * Experience deploying and operating models ...

Technical Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik. Coding: Proficiency in Python or R for automation and advanced experimentation. The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already uses ...

Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik . Coding: Proficiency in Python or R for automation and advanced experimentation. The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already uses ...

Stack: Advanced SQL is a must. High proficiency in Snowflake, Databricks, and visualization tools like Tableau or Qlik . Coding: Proficiency in Python or R for automation and advanced experimentation. The "AI Edge": A genuine enthusiasm for LLMs and Generative AI. We are looking for someone who already uses ...