Nicola Rennie

Passionate about using statistics to aid in better decision-making, and creating informative data visualisations to communicate findings. Creative, driven, and self-reliant.

My Experience


I am a Mathematical Consultant at the Smith Institute. Previously, I worked as a graduate teaching assistant at Lancaster University.


I recently submitted my PhD thesis in statistics and operational research at Lancaster University.


My research interests include data visualistaion, outlier detection, forecasting, and functional data analysis.

My Work

In addition to my PhD research, I have undertaken a number of different projects to broaden my skillset. This work utilises a range of statistical approaches and different programming languages. Here is a snapshot of some of the projects I have completed.

Tidy Tuesday Data Visualisation

Viz For Social Good

DuBois Challenge

UK Air Pollution

Interactive Dashboards

Generative aRt

My Skills

Part of undertaking a PhD involves constantly learning new things and, both within and outwith my PhD project, I have further developed my skills in communicating research to a wide range of audiences, learnt how to make beautiful informative graphics, and gained experience of addressing real world business problems through collaboration with industrial partners.

  • Presenting research to a range of audiences
  • Writing technical reports
  • Collaborating with industry to formulate mathematical problems
  • Designing and carrying out research projects
  • Working independently and as part of a team
  • Highly organised and detail orientated
  • Adapts quickly to change

  • R (RShiny, tidyverse, plotly, ...)
  • Python (pandas, NumPy, ...)
  • SQL
  • Git
  • LaTeX
  • RMarkdown
  • HTML
  • CSS

  • Functional data analysis
  • Outlier detection
  • Forecasting
  • Clustering
  • Dimension reduction
  • Regression
  • Statistical Modelling
  • Time series analysis
  • Dynamic Programming

This list is not exhaustive, and I am always looking for new things to learn, and interesting problems to apply them to. If there's a skill that's missing, I am very willing to learn.


I'm looking for opportunities in data science, statistics, and operational research. If you would like to chat, please send me a message.