Develop domain expertise: Understand the compensation landscape and the factors shaping pay across roles, organisations, and markets.
Analyze complex datasets: Explore large, real-world datasets to uncover patterns, trends, and actionable insights.
Build statistical and ML models: Design models that power Ravio’s compensation insights, ensuring accuracy, robustness, and interpretability.
Own modelling pipelines end-to-end: Build, deploy, and maintain scalable pipelines as data and product usage grow.
Collaborate cross-functionally: Partner with Product, Engineering, and Design to integrate data science capabilities into products.
Communicate insights clearly: Translate complex findings into actionable recommendations for technical and non-technical audiences.
Continuously improve: Refine models, methodologies, and data processes over time for better quality and impact.

Requirements

Hold a Masters or PhD in Data Science, Statistics, Machine Learning, Economics, or a related field
Have strong foundations in statistics, modelling, and machine learning
Are experienced with messy real-world datasets
Are proficient in Python and libraries like pandas, numpy, and scikit-learn
Can build and maintain production-ready modelling pipelines
Balance technical rigor with practical business impact
Communicate complex ideas clearly to diverse audiences
Work independently and collaboratively within a multidisciplinary team

Benefits

Company ownership (everyone gets a meaningful equity stake in Ravio)
37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)
Up to 6% pension matching scheme
£60 a month wellness allowance (Invest in your physical wellbeing, on us)
£500 per year Learning and Development budget
Private healthcare cover (on a medical history disregarded basis) with AXA
Personal worldwide travel insurance - just in case
Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)
16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisstatistical modelingmachine learningdata processingmodel deploymentpipeline maintenancedata visualizationdata interpretationdataset explorationmodel refinement

Soft Skills

communicationcollaborationindependenceproblem-solvingadaptabilitycritical thinkingcross-functional teamworkclarity in presentationbusiness impact assessmentcontinuous improvement