4 of 4 Temporary R Jobs in London

closely related field like healthcare or academia. Technical Proficiency: Strong command of SQL, Excel, Power BI, and statistical programming tools such as Python, R, or STATA for handling large datasets. Reporting & Governance: Deep understanding of quantitative data interpretation, KPI framework design, and public sector statutory reporting standards. Leadership & Communication: Demonstrated ...

team enablement Awareness of data governance, ethics and responsible AI Eligibility for Enhanced DBS and BPSS clearance Desirable: Experience with PyTorch, TensorFlow, LangGraph, R or Java Experience with Spark, Databricks or similar distributed data platforms, and exposure to MLOps Experience of AWS, Azure or GCP AI/ML services, ideally ...

modern foundation models (Claude, OpenAI) featuring tool calling, structured outputs, and autonomous multi-agent coordination. Agentified Dashboards: Develop interactive, natural-language interfaces and dashboards (R Shiny or Python) over portfolio, resourcing, and operational metrics. Shared Foundations: Build and govern a centralized library of reusable AI skills, connectors, and evaluation benchmarks … agent SDKs. Data & Cloud: Advanced SQL, cloud data warehouse proficiency (Snowflake preferred), Docker, Git, CI/CD, and AWS deployment. Visualization: Solid experience with R Shiny or Shiny for Python. Governance & Mindset: Working knowledge of validation, auditability, data privacy, and security (GxP/regulated environment awareness) with strong cross-functional ...

responsibilities: AI Agents & Skills: Build practical AI assistants to handle repetitive tasks, automated document checks, and self-assembling reports. Agentified Dashboards: Develop and deploy R Shiny (or Shiny for Python) applications embedded with natural-language AI co-pilots. Process Automation: Streamline manual operational processes across spreadsheets, enterprise tools, and business … criteria: Experience: 3+ years building data applications, process automations, or internal business tooling. Python: Strong scripting, data wrangling (pandas, requests), and automated testing skills. R & Shiny: Demonstrated ability to build and deploy interactive R Shiny applications. Integration & Data: Proficient in SQL and connecting services via RESTful APIs. Generative AI: Practical ...