Senior Data Scientist

What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio.

We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age with clarity and transparency.

We’re passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins.

Ravio is growing fast, which means you can too. Joining a startup in the early days and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you’re in the right place.

We’re hiring a Senior Data Scientist to bring innovative data science to the world of compensation. Ravio is a data business, making this role pivotal in shaping how the our core product is generated, interpreted, and delivered.

You’ll work on challenging problems at the intersection of statistics and machine learning, uncovering the factors that determine pay across industries, roles, and markets. This is a hands-on role where analytical expertise meets commercial impact, helping build models that are robust, interpretable, and deliver meaningful value. You’ll collaborate with Product, Engineering, and Data teams to transform complex datasets into scalable, customer-facing products.

This role is ideal for someone who enjoys tackling ambiguous problems, messy real-world data, and turning rigorous analysis into practical, impactful solutions.

• 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.
  

• 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

• Build a product that helps people get paid fairly

• Shape the future of data-driven products in a rapidly growing company

• Join a fast-growing company backed by top-tier investors

• Be part of a smart, humble and ambitious team

• Hybrid, flexible work culture with a high degree of trust and ownership

• £80,000 - £120,000

• 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.

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