1 to 25 of 27 Remote R Jobs

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

tools. Knowledge of customer segmentation, reporting, and analytics. Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Desirable Exposure to Python, R, SAS, or other analytics tools. Experience with propensity modelling or predictive analytics. Understanding of customer behaviour, transaction data, and payments products. What's on Offer ...

What We're Looking For Strong experience in Data Science, Advanced Analytics, Insights or Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology ...

environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these ...

opportunities and helping expand a consulting business. A naturally curious mindset and a genuine passion for solving challenging problems. **Additional experience with Databricks, PySpark, R, Power BI or Palantir Foundry would be advantageous.** Why consider it? Continued development:** Dedicated training and certification budget. Variety:** Work on complex, interesting projects spanning ...

models. Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management ...

accelerate insight generation What we're looking for: Extensive experience in data analytics, applied analytics, data science or a related field Advanced SQL, Python, R or similar skills Strong experience in exploratory analysis, hypothesis development and data-driven decision making Experience working across multiple teams and influencing senior stakeholders ...

Scientist should have: Strong analytical and problem-solving skills. Experience with data analysis, modelling, and visualisation tools. Knowledge of programming languages such as Python, R or SQL. Ability to communicate complex data insights clearly. Experience producing clear reports and analysis for all stakeholders Knowlege of GIS tools Understanding of statistical ...

Science/Data Science//Industrial Engineering Expert knowledge of Python, statistical modelling (frequentist and Bayesian) and data visualization Intermediate knowledge of PowerShell, R and SQL AI expert knowledge Project management Comfortable with non-recurrent, high-complexity engineering analyses that drive product decisions Experience with Industry 4.0 (EI): Best ...

Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks. Experience in one or more of the listed Languages such as: Python, R, PySpark Experience in one or more of the following Agentic & Gen AI Platforms: such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby ...

code using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered ...

Science (Customer Success, Operations, or Digital Experience ideal) Strong SQL skills; experience with Snowflake, Databricks, Spark Dashboarding expertise (Tableau, Qlik, or similar) Python or R for analytics/automation (preferred) Knowledge of statistical methods and A/B testing Experience with ML or Generative AI (advantageous) Strong communication and data ...

data investigation. Confident use of Excel for analysis, validation and working with structured data. Working knowledge of Power BI Knowledge of DAX, Python or R, or evidence of learning one of these. Able to explain data and findings clearly to people with different levels of technical knowledge. Able to build ...

more areas of data analysis, statistical modelling, and data validation, and a sound understanding of reproducible analytical pipelines and relevant software applications (such as R, Python, Git, AzureDevOps, GitHub, MSFabric, FME Flow). You will have previous experience of leading and managing technical projects. You will be a good communicator ...

more areas of data analysis, statistical modelling, and data validation, and a sound understanding of reproducible analytical pipelines and relevant software applications (such as R, Python, Git, AzureDevOps, GitHub, MSFabric, FME Flow). You will have previous experience of leading and managing technical projects. You will be a good communicator ...

more areas of data analysis, statistical modelling, and data validation, and a sound understanding of reproducible analytical pipelines and relevant software applications (such as R, Python, Git, AzureDevOps, GitHub, MSFabric, FME Flow). You will have previous experience of leading and managing technical projects. You will be a good communicator ...

with the ability to translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong ...

Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep ...

experience developing production-ready solutions in WTW Radar . A solid understanding of general insurance pricing and rating algorithm design. Experience with SQL, Python, R, SAS, Excel or VBA. Knowledge of software development practices, including testing, version control, documentation and controlled releases. Strong analytical, problem-solving and communication skills. Experience ...

experience developing production-ready solutions in WTW Radar . A solid understanding of general insurance pricing and rating algorithm design. Experience with SQL, Python, R, SAS, Excel or VBA. Knowledge of software development practices, including testing, version control, documentation and controlled releases. Strong analytical, problem-solving and communication skills. Experience ...

test design and execution, enabling the role to flex across diverse technologies including Azure Synapse, Microsoft Fabric, Tableau, Power BI, integration tooling, Python, R, and UiPath. The Analytics and Automation Test Engineer will be comfortable context-switching between teams, picking up new platforms quickly, and tailoring testing approaches … Proficient in SQL and comfortable querying relational databases. Working knowledge of at least one scripting language for data validation or test automation (Python preferred; R also valuable). Hands-on Experience with cloud platforms Familiarity with modern AI approaches to testing Strong analytical and problem-solving skills, with meticulous attention ...

statistical analysis and monitoring design, examine implications and make justified and evidenced recommendations (desirable). * Experience of a range of statistical techniques in R or Python (or SPSS) for examining relationships (including multivariate) between data and for inference, parametric and non-parametric analysis, and quantifying uncertainty (Essential). * Experience ...

proteomic experience is a bonus). Skilled in functional interpretation of omics data, e.g. pathway enrichment, functional module detection, causal reasoning. Excellent computational skills: R proficiency, HPC/Unix, cloud or pipelining platforms and Docker (DNAnexus is a plus). Solid grounding in statistics and data visualisation, plus the ability ...

nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. R Inspector Crawley Our Opportunity Thales teams deliver cutting-edge solutions to armed forces the world over. We are Europe's number one supplier of defence electronics ...

Health Plan Contract Interpretation to Support Claims Pricing Reconciliation, Identification of Billing Discrepancies, and Integration of Contractual Terms with Claims Data for Client Reporting - R-Based Predictive Modeling for Members of Interest (MOI) Identification and Health Plan Cost Trend Analysis - Time Series Analysis of Healthcare Cost Data in R - Vendor … Analysis Including ROI Calculation, Utilization Tracking, and Missed Opportunity Assessment for Self-Insured Employer Health Plans - ETL Data Preparation and Transformation using KNIME and R - Opportunity sizing - Optimization and Scenario Modeling Using R, Excel. Travel Requirements Travel to main office for all-hands meetings. Telecommuting/Remote Work is Permitted ...