21 of 21 Remote/Hybrid R Jobs in the North of England

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

experience working as a Data Scientist or in a similar analytical role, preferably within the fleet industry Strong proficiency in programming languages including Python, R and SQL for data manipulation, analysis, and modelling Strong commercial acumen, able to contribute directly to overall business strategy and identify opportunities for models ...

practices. Your qualifications and experience ESSENTIAL Pro at using SQL for data manipulation (PostgreSQL, MSSQL, Google BigQuery, SparkSQL, etc.) Strong coding skills in Python, R, Scala, C, Java, or JS Proven track record of using data manipulation and machine learning libraries Practical modelling & statistical analysis experience, ideally customer-related Strong ...

senior levels. A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy ...

related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries and frameworks. Detailed understanding of data mining, data warehousing, and data visualisation techniques. Knowledge of Artificial Intelligence ...

What We're Looking For Previous Senior Analyst or equivalent analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management ...

Scientist should have: Strong analytical and problem-solving skills. Experience with data analysis, modelling, and visualisation tools. Knowledge of programming languages such as Python, R or SQL. Ability to communicate complex data insights clearly. Experience producing clear reports and analysis for all stakeholders Knowlege of GIS tools Understanding of statistical ...

Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks. Experience in one or more of the listed Languages such as: Python, R, PySpark Experience in one or more of the following Agentic & Gen AI Platforms: such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby ...

designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning ...

implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming language for data science (Python, R, etc.) Including best practices using this language to write robust software. An Awareness of data governance and best practices to ensure data protection. Experience planning ...

data engineers and technologists to scale them on parallel and distributed platforms Highly proficient in writing code in scripting languages such as Python and R, and familiarity with their data science libraries and packages Good at presenting complex concepts in clear (but not over‐simplified) terms to non‐technical audiences ...

between technical and commercial teams, synthesising complex data into actionable insights for leadership. What do we need from you? Deep proficiency in Python or R for statistical modelling and data manipulation. Proven experience not just building models on a desktop, but deploying them into production environments using software best practices. ...

such as GA4, Adjust and Iterable. Deep knowledge of marketing attribution, cost allocation, MMM and incrementality testing. SQL and analytical programming languages such as R or Python. Modern Data Stack technologies and cloud architecture, specifically AWS and dbt. Data pipelines, integrations and enterprise data architecture. How you’ll make ...

Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep ...

dynamic and ambitious as well as being welcoming and supportive. The applicant should have high proficiency with scientific computer programming in Python, Julia, R and/or MATLAB, parameter estimation methods and HPC simulations. Experience with dynamical systems theory and mathematical modelling using ODEs and/or DDEs is desirable. ...

Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly … Optimisation, and Street Pricing. What we’re looking for: Experience in general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree ...

solutions. Research, develop, and champion best-practice methods; upskill the team through coaching and code reviews. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Communicate pricing proposals and insights clearly and persuasively to stakeholders at all levels. Collaborate … norm. Strong problem solving capabilities with the ability to apply market standard pricing techniques to non-standard products. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Technical expertise in predictive modelling techniques e.g. GLMs. Experience with ...

quality research, quantitative analysis and writing up of research papers and in the planning of new research studies. Previous experience with the use of R, Python and Transactional SQL (T-SQL) will be an advantage, as these tools are used predominantly in the preparation of research datasets. About … Desirable Knowledge of Data Protection legislation Understanding of clinical coding terminology Knowledge of SQL Server Integration Services, scripting (i.e. PowerShell) and statistical packages (R/Python) Qualifications Essential Degree level qualification in a numerate/computing discipline or equivalent experience Evidence of continuing professional development Other Requirements Essential High levels ...

analysis and use ahead of publication of key study data. Key responsibilities will include: Organisation & cleansing of data sets. Programming analysis tools using R Data Analysis Creating visualisations and dashboards Produce evaluations & reports for internal stakeholders. Required: A degree in Data Science, mathematics or similar relevant field. Proven experience … Data organisation & Analysis. Proven experience working independently to progress statistical projects. Ability to code in R Available to begin with short notice. #J-18808-Ljbffr ...

will be expected to develop and maintain reproducible analytical pipelines to support routine reporting, research, and incident response. This will require proficiency in the R programming language and the application of strong analytical and coding practices. Please note this list is not exhaustive. About us We pride ourselves as being … trend analysis and translate statistical processes into automated solutions where appropriate Use common statistical/database/mapping/web tools such as Stata, R, ArcGIS, network analysis, SQL and SharePoint in routine reports, surveillance activities and the development of solutions and undertake complex analytical and programming tasks using common ...

Electronic Engineer Location: York (Hybrid Working) Salary: Up to £60,000 + Benefits The Role A new position has been created for an Electronic Engineer to join our client's growing engineering team in the ...