1 to 25 of 53 R Jobs in Edinburgh

AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools More ❯

and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯

routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and More ❯

data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience More ❯

Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a fast-paced More ❯

Thinking Canvas to explore problem statements with stakeholders and develop technical requirements for analytics outputs Proficiency in analytical functions within MS and SQL languages, R, Python and MS Excel and technical expertise within Tableau, PowerBI and/or other BI Tools Strategic thinking, identifying and leading new projects, business ventures 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 ❯

for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯

global universities) Strong foundation in AI, machine learning, or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem More ❯

the pensions industry would be beneficial but most important is a passion to learn. Experience or familiarity with some of the following: Coding in R, Python, or other data modelling/analysis technologies PowerBI for reporting and visualisations Data modelling for downstream extraction or consumption Data Lakes for data storage More ❯

and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure More ❯

hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as More ❯

Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a fast-paced More ❯

applications. Proven expertise in (and/or proven ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for More ❯

with software such as GastroPlus, Simcyp, MATLAB, or Python for developing and utilising PBPK/PBBM models. Experience with statistical programming environments such as R or SAS. Demonstrated expertise in: Drug product development using modelling methodologies such as PBPK/PBBM. Regulatory processes involving modelling and simulation tools, including interaction More ❯

employment. An employer who violates this law shall be subject to criminal penalties and civil liability. State Street's Speak Up Line Job ID: R-772273 Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Business Development and Sales Industries Financial Services, Investment More ❯

Economics, Data Science, or a related field 3+ years of experience in forecasting or data analytics Proven experience with statistical software, ideally Python or R Experience with advanced analytical techniques, including machine learning and predictive modeling Industry knowledge of forecasting in Automotive, Finance, or Manufacturing is highly desired What's More ❯

teams. Ability to articulate complex analytical concepts to non-technical stakeholders. Proficiency in one or more programming languages such as SAS, SQL, Python or R It's a bonus if you have but not essential Knowledge of CIFAS rules and procedures in the context of first party fraud. Experience influencing More ❯

transaction or consumer level Experience in using tools like Git and JIRA Essential Quantitative degree (Mathematics, Physics, Computer Science or Economics) Proficient in Python, R or other object-oriented languages, applying diverse data science techniques Skilled in designing and delivering analytics projects using large, structured datasets Effective collaboration with technical More ❯

remote, with a salary of up to £45,000. The ideal candidate will have experience in delivering training in the following technologies: Excel, Access, R, SQL, Power BI, Azure fundamentals Requirements: Previous training delivery experience Teaching or assessing qualification Minimum 1 year experience in Data Analysis training Relevant degree-level More ❯

in Java, C++, Python, or related language. Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. Experience with large scale distributed systems such as Hadoop, Spark, etc. Our inclusive culture empowers Amazonians More ❯

time left to apply End Date: June 30, 2025 (19 days left to apply) job requisition id R Job Description At Aberdeen, our ambition is to be the UK's leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make Aberdeen a More ❯

such systems, validating them or using them to monitor methods and report on outputs Advanced expertise of at least one programming language, e.g. SAS, R, Python, SQL and expert knowledge of Excel and Visual Basic Experience in independently validating/reviewing or building financial risk models/methods Superior written More ❯

scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large More ❯

with small-scale data projects and a proficiency in PowerBI and SQL will be ideal, along with skills in programming languages such as VBA, R, and Python. As a globally established provider, you will have the opportunity to visit global offices, connect with international teams, and collaborate worldwide! This role More ❯