176 to 200 of 1,108 R Jobs in the UK

standard of professionalism and structured work processes. Key Requirements Proven experience in data management and quality, preferably in financial services. Advanced proficiency in SQL; familiarity with programming languages (Python, R, Java, Scala). Experience with Power BI for reporting. Strong stakeholder management skills. Experience in financial crime (AML/CTF, KYC, Transaction Monitoring, Sanctions). Fluency in English. Nice to More ❯

years of data analysis experience with tools like Redshift, Oracle, NoSQL, and data visualization skills with Tableau, PowerBI, or Quicksight. Experience with scripting languages such as Python, Java, or R, and a track record of deriving business insights are required. This position requires excellent communication skills, the ability to work effectively in a fast-paced environment, and a results-oriented More ❯

and provide insightful recommendations It's a bonus if you have! Previous experience presenting information to key stake holders Working knowledge of one or more of the following: SQL, R, Python, C++, Java Knowledge and practical experience with Power BI If you are interested in this fantastic opportunity based near Leeds , please apply direct with an updated CV. Apply for More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯

regulatory obligation as required by 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 work with a variety of More ❯

regulatory obligation as required by 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 work with a variety of More ❯

a problem solving mindset A confident communicator who can explain data insights to both technical and non technical audiences A willingness to learn. For example, experience in Python/R, AWS or model deployment would be great, but it is important that you could learn this Why work for us? Work in a high growth, data first business combining fintech More ❯

Hands-on experience with similar sports technology (GPS, video analysis, tactical applications, etc.) Experience with data visualisation tools such as Tableau and PowerBI Experience using programming languages like Python, R, C++, etc. Personal Characteristics: Team player mindset Strong communication skills Diligent follower of process with high attention to detail Highly organised Ability to learn quickly, plan and adapt to demands More ❯

the following predictive modelling techniques; 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 at communicating results in a More ❯

working in enterprise data warehouse and analytics technologies Hands-on experience building and training machine learning models. Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks (such More ❯

the following predictive modelling techniques; 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 at communicating results in a More ❯

test design, analysis, validation, and documentation - Maintain BI architecture including our AWS account, database and various analytics tools. BASIC QUALIFICATIONS - SQL mastery is a must - Some scripting knowledge (python, R, scala) - Stakeholder management - Dashboarding (Excel, Quicksight, Power BI) - Data analysis and statistics - KPI design PREFERRED QUALIFICATIONS - Power BI and Power Pivot in Excel - AWS fundamentals (IAM, S3, ) - Python - Apache Spark More ❯

leverage methodologies like the Design 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 and professional development opportunities Confidence More ❯

using SQL for data manipulation (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 of the following areas: Big More ❯

NoSQL etc. experience - Experience with 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 PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

analysis, machine learning, meta-analysis, 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 deliver clear and concise presentations More ❯

visualizations, and presentations. BASIC QUALIFICATIONS 2+ years of data scientist experience. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an More ❯

product we deliver aligns closely with user needs and provides value to the wider Modo team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis More ❯

of investments. Experienced in analytical programming and statistical modeling. Dedicated to challenging the status quo in school quality data analytics. Proficiency in SQL and Excel; knowledge of Python, Stata, R, PowerShell, AWS, Linux, HTML. Familiarity with K-12 school performance data and experience in creating reports, white papers, and data tools. Intermediate knowledge of website development and required maintenance EDUCATION More ❯

Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

complex analysis into actionable insights for product and commercial teams. Solid understanding of product development lifecycles, growth strategies, and user journey analytics. Nice to have: Experience with Python or R for modelling, or equivalent tools for advanced analytics. Familiarity with modern data stack technologies, including dbt and cloud data warehousing. Experience or exposure to monetisation-focused consulting or advisory roles More ❯

is looking to expand its use of more advanced statistical methods within the next iteration of planning, forecasting and modelling tools, so experience with open-source software such as R and Python will be of value. King's BIU provides a flexible working environment with a mix of home and office-based working, with offices in Orpington and King's More ❯

understanding of data modelling principles, data dictionaries and key data modelling tools such as ER studio, Oracle SQL Developer data. Knowledge of SQL and other programming languages such as R and Python. Strong understanding of data management, data quality, master data management and other data governance principles. Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic More ❯

understanding of data modelling principles, data dictionaries and key data modelling tools such as ER studio, Oracle SQL Developer data. Knowledge of SQL and other programming languages such as R and Python. Strong understanding of data management, data quality, master data management and other data governance principles. Familiarity with project governance tools and artifacts for product delivery (e.g. JIRA, Epic More ❯