151 to 175 of 1,086 Remote R Jobs

pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ML and data science development. Proficient in Python, R, and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale More ❯

pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ML and data science development. Proficient in Python, R, and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale More ❯

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 More ❯

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 More ❯

is desirable. Intermediate to advanced MS SQL skills, with the ability to build and manipulate queries. Knowledge of programming languages such as VBA, .NET, R, or Python is an advantage. Our Benefits We offer a comprehensive benefits package, including hybrid working, competitive salary, pension, discretionary bonus, health and dental insurance More ❯

environment is highly advantageous. Tech Expertise: Advanced knowledge in one or more of the following technologies: Google Cloud Platform, AWS, Microsoft Azure, Databricks, Python, R, Pyspark, Scala, PowerBI, Tableau. Your Role and Impact AI & Data Science Leadership: Youll guide and mentor the team while delivering impactful AI, Data Science, and More ❯

this knowledge to practical problems. Knowledge of common data science software. We have a Python-first setup, but will if needed tackle problems using R, SAS, SQL, Spark, and work with tools such as Jupyter Notebooks, IDE's, Git, Microsoft Azure, Obviously, additional bonus points for PhD's, and more More ❯

at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some More ❯

and translate complex analyses into clear insights for colleagues and stakeholders. Key Responsibilities Apply data science and machine learning to large datasets using Python, R, or Julia to generate insights and evidence. Communicate approaches and results effectively, including data visualisation. Work cross-functionally to deliver evidence-generation initiatives and collaborate More ❯

Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is More ❯

in a hybrid analytics and consulting role, ideally in healthcare Strong skills in data preparation, feature engineering, and model development Proficiency in SQL, Python, R, or similar languages Ability to create clear, engaging data visualisations for non-technical audiences Experience managing stakeholders and delivering in fast-paced, deadline-driven settings More ❯

AI, machine learning and data science, with a track record of launching data-driven SaaS or enterprise products Technical Expertise – Strong programming skills (Python, R, Java), deep learning and machine learning knowledge, experience in MLOps and cloud computing (AWS, Azure, GCP) Industry Knowledge – ERP system familiarity, expertise in discrete manufacturing More ❯

GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture More ❯

Strong knowledge of statistical methods such as survival analysis, machine learning, meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop clear presentations for More ❯

mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and More ❯

you need? Academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related business experience. Experience of writing code in R, Python or SQL. Hands-on experience using data science to solve problems or improve established processes. Stakeholder management skills and experience working with colleagues to More ❯

you need? Academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related business experience. Experience of writing code in R, Python or SQL. Hands-on experience using data science to solve problems or improve established processes. Stakeholder management skills and experience working with colleagues to More ❯

you need? Academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related business experience. Experience of writing code in R, Python or SQL. Hands-on experience using data science to solve problems or improve established processes. Stakeholder management skills and experience working with colleagues to More ❯

you need? Academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related business experience. Experience of writing code in R, Python or SQL. Hands-on experience using data science to solve problems or improve established processes. Stakeholder management skills and experience working with colleagues to More ❯

you need? Academic background in Data Science, Maths, Statistics or Computer Science or equivalent Data Science-related business experience. Experience of writing code in R, Python or SQL. Hands-on experience using data science to solve problems or improve established processes. Stakeholder management skills and experience working with colleagues to More ❯

health services — with a focus on youth or care leaver support. Proficiency in data analysis and visualisation tools such as Power BI, Tableau, SPSS, R, or STATA. Experience with CRM systems and managing large, complex datasets. Proven ability to communicate complex data in a clear, accessible, and compelling way to More ❯

of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft's Fabric data platform, Experience with ADF such as More ❯

of Data Warehouse/Data Lake architectures and technologies. Strong working knowledge of a language for data analysis and scripting, such as Python, Pyspark, R, Java, or Scala. Experience with any of the following would be desirable but not essential; Microsoft’s Fabric data platform, Experience with ADF such as More ❯

Experience with discrete-event based simulation. Developing and/or applying data modeling and machine learning methodologies. Experience with statistical and mathematical modeling environments (R, Python, MATLAB, etc.). Experience with programming languages such as Python, Java, C#, C++. A working knowledge of systems, software packages, and languages is preferred More ❯

We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations Experience managing multiple projects with competing deadlines High-level communication skills with More ❯