Senior R Shiny Developer

Senior R / R Shiny Developer Life & Health Analytics Platform

On-site: Bratislava (Slovakia) | Hyderabad or Bangalore (India)

Full-time | Minimum 912 month engagement

Our client is one of the worlds leading providers of reinsurance, insurance, and insurance-based risk transfer , with a clear purpose: to make the world more resilient .

They are now expanding an established, high-impact engineering team working at the intersection of actuarial science, data engineering, and modern analytics .

The Opportunity

Youll join a mature, successful team building the next generation of an Experience Studies engine used by Life & Health actuaries globally.

Originally developed in Python, the platform has evolved into a powerful R & R Shiny ecosystem designed to give actuaries full transparency and control no black boxes. After a successful build phase with external contractors, the organisation is now bringing this capability in-house for long-term ownership and innovation.

This is not greenfield . The core platform is live and trusted. Your challenge will be to maintain, enhance, and future-proof it by continuously adding new features and improving performance as data volumes and user demands grow.

Youll work closely with:

• 3 Developers (engine + R Shiny)
• 3 Actuaries
• A global Experience Studies Centre of Excellence

What Youll Be Doing

Youll play a key role in shaping and extending the platforms core R Shiny applications , including:

Explorer

An exploratory tool to assess incoming data quality, structure, and suitability for Experience Studies.

Result Viewer

Transforms structured engine output into actionable insights:

• Report generation
• Actual vs expected analysis
• Historical comparisons
• This application handles large datasets , making memory efficiency and optimisation critical.

GLM Viewer

A pilot satellite application supporting actuaries with Generalized Linear Models .

Additional responsibilities:

• Translate and challenge requirements from actuarial stakeholders to deliver robust, performant solutions
• Solve upcoming challenges around very large datasets that cannot be uploaded to Posit Connect
• Support and enable the wider Experience Studies user community
• Apply strong software engineering principles , not just R scripting

Required Experience

• Advance R Shiny programming skills with relevant experience over the last 12-24 months, especially with packages like tidyverse, dplyr, data.table, dtplyr, Rcpp, testthat, and shiny.
• Built production-grade applications (version controlled, with unit and functional tests, packaged format).
• Strong data science and analytical skills.
• Desire to learn and improve continually (training may be provided).
• Experience using the Posit commercial products: Posit Workbench and Posit Package Manager.

Bonus Experience

• Performance optimization of R code (dtplyr, data.table, Rcpp, cpp11).
• Experience in developing R solutions using CI/CD pipelines and cloud providers (e.g. Azure DevOps).
• Provide technical guidance, help & leadership to other R developers within the team.
• Actuarial knowledge.

Engagement Highlights

• The role is expected to last a minimum of 9-12 months.