Data Scientist (hybrid)

allstate.ca

United Kingdom
Hybrid
Advanced statistical and machine learning techniques
Designing and analyzing business experiments
Applying quasi-causal techniques
Your role will be responsible for applying advanced statistical and machine learning techniques to evaluate business metrics, designing and analyzing business experiments (A/B, multivariate tests), applying quasi-causal techniques (propensity scoring, difference-in-difference), and maintaining high code-quality practices to ensure insights are reproducible

Job Summary

  • Your role will be responsible for applying advanced statistical and machine learning techniques to evaluate business metrics, designing and analyzing business experiments (A/B, multivariate tests), applying quasi-causal techniques (propensity scoring, difference-in-difference), and maintaining high code-quality practices to ensure insights are reproducible.
  • Allstate NI is proud to be Allstate’s European Digital Centre of Excellence—recent winners of ‘Best Use of Cloud Services’ at the Belfast Telegraph IT Awards 2024, and recognised for our community and sustainability impact at the 2024 Business in the Community Awards and Gold accreditation for Environmental Responsibility.
  • We offer: A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts; Access to world-class learning platforms and award-winning L&D; Clear career paths, internal mobility, and a strong focus on growth.

Matching Summary

Your role will be responsible for applying advanced statistical and machine learning techniques to evaluate business metrics, designing and analyzing business experiments (A/B, multivariate tests), applying quasi-causal techniques (propensity scoring, difference-in-difference), and maintaining high code-quality practices to ensure insights are reproducible.

Skills & Requirements

Must-have

  • advanced statistical and machine learning techniques
  • designing and analyzing business experiments
  • applying quasi-causal techniques
  • high code-quality practices
  • Python and/or R for data analysis

Nice-to-have

  • dashboards or visualisation tools
  • software engineering best practices
  • modern development workflows
  • outcome-based delivery approach

Key Requirements

  • minimum of 3 years demonstrated experience applying causal inference methodologies
  • Strong foundation in statistical inference
  • Experience in statistical and machine learning fundamentals
  • legal right to work in the UK

Work Rights

Legal right to work in the UK

Tailored Resume

Cover Letter