Pricing Data Scientist

Overview

In this role you will develop pricing insights from Marshmallow’s quote, policy and claims data to guide rate decisions. You will own strategic pricing initiatives, collaborate across senior stakeholders, and deploy models into real-time APIs. You’ll work with a diverse data science and engineering team to experiment quickly and scale impact, supported by a culture that values autonomy and rapid iteration. The position offers exposure to large data, cross-functional collaboration, and opportunities to shape pricing strategy.

Responsibilities

• Develop pricing insights from quote, policy, and claims data
• Own strategic pricing initiatives such as expansion plans or protecting renewing customers
• Communicate plans and gain cross-functional buy-in from heads of departments
• Conduct claims and price optimization analyses using SQL and Python
• Build and deploy pricing models in APIs for real-time use
• Collaborate with pricing peers to implement changes and monitor impact
• Identify external data sources to refine claims risk and quantify value
• Work with Engineering & MLENG to implement pricing proposals
• Support pricing for new product launches
• Potentially manage a small team of pricing analysts and data scientists
• Provide analytical support to reinsurers, regulators, and partners
• Engage with the wider DS community on longer-term R&D projects
• Contribute to cross-functional pricing initiatives in a fast-paced environment

Key requirements

• Experience in a data-driven role (minimum 3 years)
• Proficiency in SQL and Python/R for pricing analysis
• Ability to build GLMs, GBMs and other pricing models
• Experience with deploying models via APIs or real-time systems
• Strong communication and cross-functional collaboration skills
• Proactive, ownership, and results-oriented mindset
• Curiosity and willingness to challenge status quo
• Ability to translate complex concepts for non-experts

• Proactive
• Owner
• Curious
• SQL
• Python
• R

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