1 to 25 of 30 R Jobs in High Wycombe

Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor's degree in a technical field (Engineering, Computer Science, Life Sciences More ❯

stakeholders An effective communicator, with the ability to influence, negotiate and present at senior management level Familiarity with statistical and predictive modelling tools (e.g., R, Python) Experience in an education, EdTech, or training-focused organisation would be advantageous Project management certification (e.g., PMP, Agile) is an advantage Experience in designing More ❯

projects in a media, broadcast, or technology environment is a strong advantage. Preferred Skills (Nice to Have) Data literacy (e.g., SQL, Tableau, Power BI, R, Smartsheet, Adobe Analytics, Google Analytics, AWS Redshift/Timestream). Experience in production engineering. Knowledge of SaaS tools, endpoint management, identity governance, or content management 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 ❯

large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

communication in a compelling way to both technical and non-technical audiences. 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 ❯

to integrate AI solutions across marketing, operations, customer service, and sales. AI Engineer Required Qualifications and Skills: Proficiency in programming languages such as Python, R, or Java, with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL More ❯

and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials, GCP, and GxP. What We Offer: Hybrid working 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 ❯

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

for this opportunity you will have the following: MUST HAVE DELIVERED TRAINING PREVIOUSLY MUST HAVE A TEACHING OR ASSESSING QUALIFICATION Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals. Experience of delivering training in Data Analysis a minimum of 1 year. A relevant qualification in Data Analysis, ideally More ❯

in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous but is not required The company offer a unique opportunity to work in a very interesting sector with More ❯

Leverage AWS tools such as S3 , Glue , Redshift , and Lambda to process and analyse data efficiently. Use scripting languages such as Python , Bash , or R to automate workflows and develop data solutions. Implement version control through Git and GitHub , and contribute to a collaborative development environment. Manage a wide range More ❯

in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home More ❯

PowerBI and SQL will be the ideal attribute for this role, as well as utilizing a varied range of programming skills such as VBA, R, and Python. As a globally established provider, you get the opportunity to visit global offices to connect with the teams and collaborate with colleagues around More ❯

What you will be doing: Program and validate SDTMs, ADaMs, and complex efficacy/lab datasets. Proficient in SAS (Base, Macros, Graphs); experience with R or Python is advantageous. Must have hands-on experience with Disclosure tables, especially Basic Results tables. Develop/debug complex macros and program non-efficacy More ❯

to interrogate and visualise results easily and safely. What You'll DoIn the first 6 months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyse immune profiles Contribute to modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support More ❯

years experience with statistical or ML methods applied to high-dimensional biological data 2 years experience in proteomic bioinformatics Strong programming skills in R (Python/C++ a bonus) Familiarity with biomarker discovery, LC-MS/MS data analysis, and experimental design Comfortable working with complex multi-modal datasets in More ❯

culture across product, marketing, ops, and finance About you: 9+ years in analytics or data engineering, with deep SQL and dbt expertise (Python/R a bonus) Experience in a fast-growing D2C brand Strong commercial acumen – comfortable working across CAC, LTV, churn, forecasting, etc. Confident engaging with senior stakeholders More ❯

CSS, JavaScript, JSP, Servlets. Database MS SQL Server2000/2005/2008/R2, PL/SQL, SQL, Oracle 8i/9i/10g, R Directory Server ODSEE 11, Open DJ directory server12, ADLDS, Radiant One, CA layer 7 API gateway More ❯

of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling Knowledge of R or Python More ❯

best practices for Databricks development and deployment. o Contribute to optimising Databricks workloads. o Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: o Integrate data from various sources, including relational databases, APIs, and file systems. o Work with different data formats (e.g. More ❯

in-house tools. At the Lead level, you will also operate as a mentor and supervisor to junior colleagues. What you'll do: Utilise R and/or Python, and any of Perl, C, C++, Java, JavaScript or Scala for programming. Work with cloud platforms (predominantly GCP and AWS) Implement More ❯

Biostatistics or Computer Sciences + Masters or PH.D in Statistics. 8 years’ experience in clinical trial statistical programming. Excellent knowledge of SAS essential with R advantageous. Good working knowledge of data structures e.g. CDISC, SDTM, ADaM, Comprehension of clinical data standards (CDISC), TLFs, and submission guidelines. What in it for More ❯

C# .NET C ore and microservice architecture. Strong experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD More ❯