1 to 25 of 113 Remote R Jobs in the UK excluding London

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions that drive business strategy, improve customer experience, and enhance operational efficiency. … of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as Tableau or Power BI Proven track record of More ❯

learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including More ❯

learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including More ❯

dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills More ❯

Looking For: Proven experience as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus More ❯

data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameter tuning, NLP, and utilising LLMs. Proficiency in programming languages such as Python, R, SAS, SQL, Java, Spark Apache Hadoop Experience across the Microsoft Fabric data analytics platform and suite of tools. Strong analytical and problem-solving skills We are looking for someone based More ❯

data and analytics. Strong attention to detail that is focussed on data quality, accuracy, and completeness Intermediate to advanced skills in data and visualisation tools such as SQL, Python, R (including R Studio), Excel, Power BI, and Domo. Exposure to working in the Microsoft Fabric ecosystem is advantageous Excellent communication, stakeholder engagement, and problem-solving skills. Able to translate technical More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

A degree in Data Science, Computer Science, Mathematics, or a related field. 5+ years' experience in data science, with proven success delivering end-to-end projects. Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud More ❯

AND EXPERIENCE ESSENTIAL CRITERIA: Demonstrated analytical expertise , with a strong track record of delivering complex analysis projects and applying robust data, testing, and measurement methodologies. Technically skilled in Python, R, and SQL , with experience using data visualisation tools like SAC, Power BI, and Tableau to communicate insights effectively. Strategic and innovative thinker , capable of introducing new analytical approaches and simplifying More ❯

AND EXPERIENCE ESSENTIAL CRITERIA: Demonstrated analytical expertise , with a strong track record of delivering complex analysis projects and applying robust data, testing, and measurement methodologies. Technically skilled in Python, R, and SQL , with experience using data visualisation tools like SAC, Power BI, and Tableau to communicate insights effectively. Strategic and innovative thinker , capable of introducing new analytical approaches and simplifying More ❯

AND EXPERIENCE ESSENTIAL CRITERIA: Demonstrated analytical expertise , with a strong track record of delivering complex analysis projects and applying robust data, testing, and measurement methodologies. Technically skilled in Python, R, and SQL , with experience using data visualisation tools like SAC, Power BI, and Tableau to communicate insights effectively. Strategic and innovative thinker , capable of introducing new analytical approaches and simplifying More ❯

AND EXPERIENCE ESSENTIAL CRITERIA: Demonstrated analytical expertise , with a strong track record of delivering complex analysis projects and applying robust data, testing, and measurement methodologies. Technically skilled in Python, R, and SQL , with experience using data visualisation tools like SAC, Power BI, and Tableau to communicate insights effectively. Strategic and innovative thinker , capable of introducing new analytical approaches and simplifying More ❯

remote type Fully Remote locations Basingstoke, United Kingdom Remote, France Remote, Hungary Remote, Italy Remote, Spain time type Full time posted on Posted 17 Days Ago job requisition id R- Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Global Sales Operations Lead/Senior Analyst Job Description As part of the Thermo Fisher Scientific team, you'll discover … systems and processes: CRM (Salesforce preferred): Advanced knowledge in data management and workflow automation. Territory Management : Skilled in designing and optimizing sales territories. Programming : Proficient in SQL, Python, or R for data analysis and automation. Power BI : Experienced in creating interactive dashboards and reports. SAP : Familiar with managing data governance processes. Additional Systems : Knowledgeable in Tableau, Microsoft Excel, Cognos, and More ❯

a strategic roadmap across analytics, automation, and change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks More ❯

time. You'll create algorithms and models to understand how changes in metrics in one area of the business impact other areas. What you'll have: Experience in using R, Python, or a similar statistical analysis package. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI. Experience in developing and More ❯

customer data. Stakeholder engagement and communication skills, both written and oral. Experience building self-service tools (e.g., in Power BI). Desirable but not essential: experience with Python or R, exposure to machine learning/predictive analytics. Preferred (not required): background in retail or related customer-focused environments. Team culture is really important here, and recently, internal surveys scored the More ❯

approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark More ❯

approach to often unfamiliar subject matter. The following attributes and areas of experience will make you particularly suited to this role with Actica: Coding e.g. expertise in Python or R; Collaborative, team-based development; Cloud analytics platforms e.g. relevant AWS and Azure platform services; Data tools hands on experience with Palantir ESSENTIAL; Data science approaches and tooling e.g. Hadoop, Spark More ❯

or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work … tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

tools) Understanding of data warehousing concepts and ETL processes Excellent problem-solving and communication skills Nice to Have Experience with cloud platforms (e.g., Azure, AWS) Knowledge of Python or R for data analysis Familiarity with Agile methodologies What We Offer Competitive salary (£40K–£50K depending on experience) Hybrid working model (2 days onsite in Leeds) 25 days holiday + bank More ❯

Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other data analysis tools strongly preferred. Awareness of the tech industry landscape, including its challenges and dynamics. Exceptional problem-solving capabilities and meticulous attention to detail. Strong communication skills More ❯