151 to 175 of 1,406 Remote R Jobs

and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau. Proven experience in successfully delivering multiple complex data rich workstreams in parallel to supporting wider strategic ambitions and supporting others in More ❯

Proficiency in data modelling (dimensional modelling), warehousing, processing (MapReduce), and transformation techniques Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia) Knowledge of IAC principles and best practices in coding (GIT, SVN) Ability to optimize workflows and analysis for MapReduce processing Experience with BI More ❯

data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred, R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI 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 ❯

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 ❯

in the Fintech SME Lending Ecosystem Proven success in building data platforms used for risk based decision models. Proficiency in programming languages including Python, R and SQL Ability to develop and publish reporting using BI Tools such as Qlik, Power BI, or Tableau Experience developing and monitoring predictive models, including More ❯

in the Fintech SME Lending Ecosystem Proven success in building data platforms used for risk based decision models. Proficiency in programming languages including Python, R and SQL Ability to develop and publish reporting using BI Tools such as Qlik, Power BI, or Tableau Experience developing and monitoring predictive models, including More ❯

in the Fintech SME Lending Ecosystem Proven success in building data platforms used for risk based decision models. Proficiency in programming languages including Python, R and SQL Ability to develop and publish reporting using BI Tools such as Qlik, Power BI, or Tableau Experience developing and monitoring predictive models, including 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 ❯

Financial Services experience, especially with current accounts and payments. Understanding of customer payment behavior and UK economic trends. Proficiency in Excel, SQL, Python/R; experience with Power BI, Looker. Knowledge of data quality, security, metadata management, version control. Experience managing large datasets, data modeling, ETL processes. Our Commitment to 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 ❯

Financial Services experience, especially with current accounts and payments. Understanding of customer payment behavior and UK economic trends. Proficiency in Excel, SQL, Python/R; experience in data wrangling, forecasting, regression, time series analysis. Experience creating reports and dashboards with Power BI, Excel, Looker; KPI tracking and data storytelling skills. 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 ❯

payment behavior and UK economic trends; skilled in explorative analysis to identify performance drivers and solve business problems. Proficiency in Excel, SQL, Python/R for data wrangling, forecasting, regression, time series analysis, and testing. Experience creating reports and dashboards using Power BI, Excel, and Looker; KPI tracking and data 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 ❯

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 ❯