12 of 12 Remote/Hybrid R Jobs in Hertfordshire

consumer data sources such as NielsenIQ, CGA, Kantar, Circana (IRI) or similar intelligence platforms. Knowledge of analytical and visualisation tools including Snowflake, SQL, Python, R, SAP Analytics Cloud (SAC), Tableau. Understanding of statistical analysis, forecasting and modelling techniques, including regression and time-series analysis. FMCG experience, with exposure to commercial ...

present evidence-based recommendations. Curious about advanced analytics, with experience or a strong interest in applying statistical and machine learning techniques (e.g. Python, R or Databricks) to turn insight into practical, ethical and explainable actions. Where you’ll work Right now, our Support Centre teams work flexibly, blending home working ...

scalable analytics products, and reusable frameworks. Your Skills & Experience Strong commercial experience in analytics, insight, or data science roles. Advanced SQL and Python or R skills. Experience with statistical analysis, forecasting, experimentation, segmentation, or machine learning. Strong stakeholder management skills with experience influencing senior leadership. Experience leading complex analytical projects ...

field. Significant hands-on experience on analysis and integration of cancer multi-omics and clinical datasets.· Strong programming skills in Python and/or R, and significant experience building reproducible data and analysis pipelines and infrastructure. Experience working with cloud platforms and scalable compute environments. Demonstrated ability to communicate complex ...

both technical and non-technical stakeholders Experience with tools such as Google Analytics, Piano Analytics, Quantum Metric or similar platforms Exposure to Python or R would be beneficial What They Offer Salary up to £65,000 Hybrid working with 3 days per week in Watford Strong opportunities for career development ...

test design and execution, enabling the role to flex across diverse technologies including Azure Synapse, Microsoft Fabric, Tableau, Power BI, integration tooling, Python, R, and UiPath. The Analytics and Automation Test Engineer will be comfortable context-switching between teams, picking up new platforms quickly, and tailoring testing approaches … Proficient in SQL and comfortable querying relational databases. Working knowledge of at least one scripting language for data validation or test automation (Python preferred; R also valuable). Hands-on Experience with cloud platforms Familiarity with modern AI approaches to testing Strong analytical and problem-solving skills, with meticulous attention ...

Science, Engineering, Data Science, or a related field. Experience: Software, data, or machine-learning engineering, including production LLM applications. Technical Expertise: Proficient in Python, R, and R Shiny with a strong grasp of LLM APIs, SQL, Snowflake, and REST APIs. Engineering Practises: Skilled in Git, CI/CD, Docker … Computer Science, AI, or related quantitative fields. Experience with validated quality management systems and security in agentic workflows. Background in pharmaceutical R&D or highly regulated industries. This is an exceptional opportunity for a strategic thinker who thrives at the intersection of software engineering and AI orchestration. ...

Automation/Application Engineer - Python/R Shiny My global pharma company is looking for an experienced AI Automation/Application Engineer to join their Business Digital, Data & AI Infrastructure sub-function , which designs, builds and runs the data, digital and AI capabilities. You will work closely with business teams … building data applications, automations or internal tools used by business teams. Python: Strong Python for scripting, automation and data processing (pandas, requests, testing). R and Shiny: Solid R and experience building and deploying Shiny applications. SQL and APIs: Good SQL and experience integrating systems through REST APIs. Generative ...

integrations, with a focus on delivering practical solutions for business teams. The ideal candidate will have 3–5 years of experience, strong Python and R Shiny skills, solid SQL and API know‐how, and familiarity with Generative AI and GxP‐regulated environments. #J-18808-Ljbffr ...

business challenges into analytical solutions Shape analytics roadmaps and prioritise initiatives based on commercial impact Deliver hands-on advanced analytics using SQL, Python or R, Power BI and statistical modelling techniques Drive best practice across analytics, experimentation, forecasting, segmentation and measurement Collaborate with data engineering and technology teams to improve … Your Skills & Experience Strong commercial experience in advanced analytics, insight or data science environments Expert-level SQL skills and advanced capability in Python or R Experience building and scaling analytical products, dashboards, measurement frameworks or insight solutions Strong understanding of data modelling, analytical engineering, ETL processes and data quality principles ...

Automation Engineer Python | R/Shiny | Generative AI | Automation Location: Welwyn, Flexible/Hybrid Rate: £500-£600 UMB/LTD Start Date: ASAP but can wait for the right person. Build AI solutions that make a real impact We're looking for an experienced AI Automation Engineer to help design … informed decisions. Working closely with business stakeholders and technical teams, you'll turn everyday operational challenges into scalable solutions using modern technologies including Python, R/Shiny, SQL and Generative AI. What you'll be doing Developing AI-powered applications and internal business tools Building and deploying R Shiny applications ...

agents that take on repetitive work, such as self-assembling reports and presentations, document checks and request-to-system workflows Develop agentified dashboards in R Shiny (or Shiny for Python) with built-in AI assistants that explain trends, flag issues and answer questions Automate manual, repetitive steps across business tools … building data applications, automations or internal tools used by business teams Strong Python for scripting, automation and data processing (pandas, requests, testing), plus solid R with experience building and deploying Shiny applications Good SQL and experience integrating systems through REST APIs Practical experience building with LLM APIs or AI coding ...