This job has expired
This position was posted on March 18, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
London
Job Type
Full-time
Category
Data Scientist
Date Posted
March 18, 2026
Full Job Description
đź“‹ Description
- • As a Senior Data Scientist at Ravio Technologies Limited, you will play a pivotal role in shaping how compensation data is analyzed, modeled, and delivered to help companies make fair and informed pay decisions. Your work will directly impact how organizations attract, retain, and reward talent by transforming complex, real-world datasets into scalable, interpretable, and actionable insights.
- • You will develop deep domain expertise in compensation trends across industries, roles, and markets, enabling you to uncover the statistical and economic drivers of pay. Day to day, you will analyze large, messy datasets using advanced statistical and machine learning techniques, build and productionize robust models that power Ravio’s core product, own end-to-end modelling pipelines, collaborate closely with Product, Engineering, and Design teams to integrate data science into customer-facing features, and communicate complex findings clearly to both technical and non-technical stakeholders.
- • Ravio is a fast-growing, mission-driven startup backed by top-tier investors, dedicated to bringing transparency and fairness to global compensation practices. You’ll join a small but ambitious team of data, engineering, and product professionals who value intellectual curiosity, technical rigor, and collaborative problem-solving in a hybrid, flexible work environment.
- • In this role, you will have the opportunity to shape the scientific foundation of a rapidly scaling product, see your models directly influence customer decisions and product roadmaps, and grow your expertise in applied data science within a high-impact domain. You’ll gain experience in end-to-end ML lifecycle management, cross-functional product development, and translating business problems into rigorous analytical solutions—all while contributing to a mission that promotes equity and transparency in the workplace.
🎯 Requirements
- • Masters or PhD in Data Science, Statistics, Machine Learning, Economics, or a related field
- • Strong foundations in statistics, modelling, and machine learning
- • Proficiency in Python and libraries including pandas, numpy, and scikit-learn
- • Experience working with messy, real-world datasets
- • Ability to build and maintain production-ready modelling pipelines
- • Strong communication skills to convey complex ideas to technical and non-technical audiences
🏖️ Benefits
- • Competitive salary range of £80,000 - £120,000
- • Meaningful equity stake in Ravio through company ownership
- • 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)
- • Up to 6% pension matching scheme
- • £60 monthly wellness allowance and £500 annual Learning and Development budget
- • Private healthcare cover with AXA (medical history disregarded), worldwide travel insurance, and income protection insurance
- • 16 weeks fully paid birthing parent leave (plus 4 weeks at 50% pay) or 8 weeks fully paid leave for non-birthing parents
Skills & Technologies
About Ravio Technologies Limited
Ravio Technologies provides real-time compensation benchmarking software for human-resources teams. The platform aggregates and anonymizes pay data from participating employers to deliver market-aligned salary ranges, equity benchmarks and benefits comparisons across roles, geographies and company stages. Integrated APIs and dashboards let HR, finance and executives model compensation scenarios, track pay equity gaps and generate reports for leadership and board meetings. Built for scale-ups and public companies, the system refreshes data continuously and offers privacy controls to protect sensitive employee information while complying with GDPR and SOC 2 standards.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
Wayflyer Limited
3 months ago
Shift Technology SAS
3 months ago
Feedzai, Inc.
3 months ago
