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Dr. Christopher Dillon

Global Lead Data Scientist
Global Lead Data Scientist Jan 2025 - Present
Nexus Brands Group

Operating across all 18 businesses within the group. Core role in the formation of the Global Finance and Data Analytics Department, a strategic initiative to centralize finance and data operations globally.

  • Team Leadership: Building, hiring, and managing a high-performing global data team to support senior leadership across the group
  • Standardization: Designing universal data and reporting architecture to replace fragmented legacy systems, ensuring consistency and transparency
  • Self-Service Analytics: Developing secure, tailored Streamlit dashboards with Entra SSO across dashboards and BI
  • Operational Reporting: OTIF performance increased by 25%, identified millions in E&O inventory, detecting ~1% revenue in OOS-related sales loss
  • KPI Strategy: Designed and implemented EOS Level 10 executive scorecard aligning KPIs with operational priorities
  • Advanced Analytics: Delivering data science initiatives focused on customer behavior, margin improvement, and strategic growth
European Data Scientist Apr 2023 - Jan 2025
Nexus Brands Group

Transformed data function for 5 European businesses across tattoo, beauty, and pet grooming supply. Consolidated fragmented data sources into universal data warehouse, enabling consistent automated reporting. This work resulted in my promotion to Global Lead.

Data Scientist May 2022 - Apr 2023
Christies Direct

Built the Data Science function from scratch at one of the world's largest pet-grooming supply companies. Created unified reporting across Christies and sister company Transgroom. Promoted to European Data Scientist based on this work.

Astrophysics PhD Sep 2017 - Feb 2022
Queen's University Belfast

Joint venture with Randox Laboratories developing statistical techniques for astrophysical and biomedical analysis. Developed algorithms for large-scale statistical analysis of below-noise-floor signals, leading to novel discoveries of stellar nanoflares. Created image feature recognition software achieving 98.8% reduction in processing times (saving 600+ seconds), key component of biochip diagnostics pipeline in $12B industry.

2023
Nanoflare Activity on Fully Convective M-dwarf Stars
Grant et al. The Astrophysical Journal
2020
Statistical Evidence for Stellar Nanoflare Signals in M-type Lightcurves
Dillon et al. The Astrophysical Journal
2019
Monte Carlo Techniques for Nanoflare Detection in Solar Active Regions
Jess et al. The Astrophysical Journal
MSci Physics, First Class Honours Sep 2013 - Jun 2017
Queen's University Belfast

Seagate bursary recipient. Head of peer mentor scheme.