126 to 150 of 762 R Jobs in the UK

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 ❯

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 ❯

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 ❯

Mathematics, Science, or related field (PhD, Masters, or Bachelors). 7+ years of relevant experience or 4+ years in a similar role. Proficiency in R, Python, or SQL for data analysis and visualization. Experience with MMM and incrementality testing. Strong problem-solving, communication, and stakeholder management skills. Knowledge of machine 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 ❯

skills, with proficiency in data visualization. Skills in Power BI report development, MS Office, CRM systems, and data warehousing are essential. Experience with Python, R, or SQL is desirable. The candidate should work well under pressure, meet deadlines, and be flexible. A commitment to professional development and willingness to travel 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 ❯

/Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb. Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases. Proficient in one of the deep learning stacks such as PyTorch or Tensorflow. Working knowledge of parallelisation More ❯

and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data Bricks/Data QI and SQL for accessing and processing data (PostgreSQL preferred but general More ❯

ensuring that data-driven decisions are well-informed. Your Profile Proficiency in data analysis tools and software such as Excel, SQL, or Python/R for data manipulation and analysis. Familiarity with data visualization tools (e.g., Tableau, Power BI) to create reports and dashboards. Basic understanding of statistical concepts and More ❯

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 ❯

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 ❯

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 ❯

of experience in clinical drug development with extensive clinical trial exposure. Strong knowledge of statistical methods, machine learning, and clinical trial design. Proficiency in R and Python, with skills in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Why Novartis: Helping people takes more More ❯

leadership roles. Experience driving enterprise-wide data transformations within global, customer-focused businesses. Strong technical background across analytics tools and languages (e.g., SQL, Python, R, Tableau, Power BI). Proven success in working with cross-functional stakeholders to deliver business outcomes through data. Strategic thinker and ability to shape long More ❯

leadership roles. Experience driving enterprise-wide data transformations within global, customer-focused businesses. Strong technical background across analytics tools and languages (e.g., SQL, Python, R, Tableau, Power BI). Proven success in working with cross-functional stakeholders to deliver business outcomes through data. Strategic thinker and ability to shape long More ❯

or equivalent industry experience, preferably in a quantitative field Desirable: Experience with ECB onboarding Exposure to Power BI, Tableau, SharePoint Familiarity with SQL, Python, R , and data engineering workflows Insight into emerging trends in data management and regulatory requirements Previous work within regulated financial frameworks The Challenge Data governance is More ❯

or equivalent industry experience, preferably in a quantitative field Desirable: Experience with ECB onboarding Exposure to Power BI, Tableau, SharePoint Familiarity with SQL, Python, R , and data engineering workflows Insight into emerging trends in data management and regulatory requirements Previous work within regulated financial frameworks The Challenge Data governance is More ❯

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 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 PREFERRED 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 using the spaCy NLP framework and BERT. Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and tools would be beneficial. Proficiency in stakeholder management and an effective, persuasive communication style to explain technical subjects to non 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 PREFERRED More ❯

in delivery of complex, advanced analytics and/or data science solutions. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure More ❯