176 to 200 of 1,841 R Jobs

experience. Proven experience as a Data Scientist, with a focus on complex data environments. Experience with data science tools and languages, such as Python, R, and Scala, in various data science environments. Experience with data visualization tools (e.g., Tableau, MS PowerBI) to deliver data analysis solutions and visualizations. Proficiency in More ❯

Git, enabling effective collaboration and code management Experience in an ML engineer or data scientist role building ML models Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads Experience handling petabyte size More ❯

GPT-3 or GPT-4 Minimum 3 years in the last 8 years in data collection, analysis, and visualization using tools such as Python, R, Tableau, or PowerBI Understanding of wargaming principles and methodologies with a demonstrated ability to apply AI to enhance wargaming scenarios Knowledge of Multi-Domain Operations More ❯

of experience in technical writing to document processes, standards, and user guidance using MS Office. Technical Skills: Proficiency in a scripting language (e.g., Python, R, Perl, bash) and advanced SQL for data manipulation. Experience with business intelligence tools such as Looker, Tableau, or Microsoft PowerBI. Key Traits Ability to explain More ❯

considered). Web insight experience using GA4 and Looker Studio. Your knowledge and skills: In-depth knowledge of SQL, with understanding of Python or R, or similar coding languages. Understanding of how Marketing teams function such as development of campaigns, CRM, advertising, brand, digital, and the impact Insight has on More ❯

i.e. Brio, Toad, SQL Developer, MS Access, Crystal Reports, Business Objects, etc.) Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc.) Must be detail-oriented and possess effective organizational and analytical skills. Understanding of banking processes and risk management programs. Ability to handle complexity and More ❯

i.e. Brio, Toad, SQL Developer, MS Access, Crystal Reports, Business Objects, etc.) Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc.) Must be detail-oriented and possess effective organizational and analytical skills. Understanding of banking processes and risk management programs. Ability to handle complexity and More ❯

or familiarity with some of the following would be beneficial but not required: BI visualization tools such as Power BI or similar Exposure to R, or Python Microsoft Power Apps Modelling and data science practices Experience of or willing to learn the following technologies: Microsoft Fabric or its related technologies More ❯

engineering practices, such as meta driven intelligent ETL and pipeline processes. Strong skills in relevant programming languages, frameworks, and platforms including SQL, Python, Spark, R etc. A strong track record of achievement in data engineering. Experience/understanding of data lifecycle management frameworks and project management methodology. Practical implementation of More ❯

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 ❯

science (e.g., algorithm development, data analysis, NLP, etc.) • Demonstrated knowledge of advanced data analytics, data visualization, and business intelligence principles, and relevant tools (e.g., R, Python Tableau, PowerBI) • Demonstrated experience leading the development of advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order … analytical skills with extensive experience in analyzing data and providing strategic recommendations. • Proficiency in advanced data analytics tools and programming languages such as Python, R, and SQL, and experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. • Agile development experience along with related technologies • Familiarity with cloud More ❯

REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply More ❯

AI powered solutions. Ideal Candidate: Relevant work experience extracting, structuring and analysing data to deliver data-driven insights. Working knowledge of VBA, SQL, Python, R and/or Matlab. Strong academic background with a degree in Physics, Computer Science, Engineering, Mathematics, Statistics or related discipline. Strong quantitative and problem solving More ❯

debt recovery Create analytic testing frameworks Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) A good understanding of the regulatory environment, especially responsible lending (creditworthiness More ❯

suite leadership 🔍 What We’re Looking For: ✔ Proven experience leading large-scale MMM projects (agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statistical modelling for marketing analytics ✔ Ability to translate complex data into actionable More ❯

suite leadership 🔍 What We’re Looking For: ✔ Proven experience leading large-scale MMM projects (agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statistical modelling for marketing analytics ✔ Ability to translate complex data into actionable More ❯

geospatial software applications and tools, such as Python, SQL, Mathematics, Statistics, Business Analytics, Collections, Data Visualization, ESRI ArcGIS, Timeseries Modeling, Large Language Modeling, Sagemaker, R, Git, Tableau, Collections, Databricks, Hue, Knowi, Kabana. More ❯

by the role. What you can bring: Experience in working in the insurance industry, particularly in claims 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 ❯

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 ❯

by the role. What you can bring: Experience in working in the insurance industry, particularly in claims 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 ❯

Graduate degree in computer science, engineering, or related field. Experience working with data analysis tools including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). Experience with Palantir's Foundry platform. Experience with US Army data. 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 software is preferred Proficient More ❯

to build the metadata application profile. Qualifications: Experience: Must have experience as a data scientist working with imagery data. Experience writing code in Python, R, Scala, JavaScript, or C++, with a focus on documentation for reproducibility. Strong knowledge of visual programming or object-oriented modeling workflows to automate data acquisition. More ❯

data visualization tools such as Tableau, Quicksight, or similar. Experience with data modeling, warehousing, and building ETL pipelines. Experience with statistical analysis packages like R, SAS, or Matlab. Proficiency in SQL for data extraction and scripting in Python for data processing. PREFERRED QUALIFICATIONS Experience in data mining, ETL processes, and More ❯

statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud computing. Experience with Dask, Airflow, and MLflow. More ❯