marshmallow - Senior Pricing Data Scientist
Responsibilities
• Developing a deep understanding of Marshmallow’s quote, policy and claims data and use this to derive insights that can be used to enhance our pricing. • Owning one of the strategic initiatives of the pricing team, such as supporting our expansion plans or protecting our renewing customers. • Communicating & getting buy-in for your plans to heads of & directors cross functionally. • Conducting claims analysis and claims modelling using SQL and Python. • Conducting price optimisation analysis/modelling using Python. • Building and deploying models in APIs for use in real time pricing. • Working with other members of pricing to recommend changes and monitor their impact. • Identify new sources of external data that enable us to refine our view of claims risk, and conduct analysis to quantify their value. • Working directly with our Engineering & MLENG functions to implement pricing proposals. • Providing analytical support in relationships with reinsurers, regulators and other partners. • Working within the wider data science community on longer term R&D projects. • Providing pricing support for the launch of multiple new products. • Potential to manage a small team of pricing analysts & pricing data scientists, overseeing both the technical aspects of their work as well as their career development. • WHO ARE YOU? 💡 • Proactive: You drive growth by identifying & delivering new opportunities • Modeller: You use your DS expertise to build innovative best in class models • Commercial: You directly use your models as tools to deliver timely real world impact • Curious: You aren’t satisfied with ‘That’s just how it is’; you immediately investigate further • Owner: You don’t just pull existing levers - you own end to end transformation in your area • Opinionated: You generate your own opinions & pitch to others in an open & honest way • Explainer: You can communicate complicated concepts in a simple way to non-experts • Networker: You build and maintain strong relationships throughout the business • WHAT SKILLS ARE WE LOOKING FOR FROM YOU? 🤹 • Ability to interrogate data and conduct pricing analysis within SQL & Python/R • Ability to build GLMs, GBMs and other claims models within Python/R • At least 3 years of experience working in a data driven (ideally commercial) role • Flexible working: Spend 2-3 days a week with your team in our collaborative London office. • Competitive bonus scheme - designed to reward and recognise high performance • Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. • Mental wellbeing support – Access therapy and mental health sessions through Oliva • Learning and development – Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset • Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches • Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) • Tech scheme - Get the latest tech for less • Plus all the rest; 25 days holiday, pension, cycle to work scheme, monthly team socials and company-wide socials every month! • We are able to offer visa sponsorship for this position. • We break it up into 3 stages: • Initial screening call with a member of the TA team (30 mins) • Past experience & technical discussion with a couple of the team (90 minutes) • A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins) • Diversity of thought • We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.
Benefits
• perfer not to say • As part of our hiring process, we carry out standard DBS and Cifas background checks. These verify there are no ongoing criminal proceedings and support fraud prevention. If you have questions, speak to our Talent Acquisition team. • Use the tick box to confirm you've read and understood • We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. • Tick the box to confirm you've read the policy and agree to us contacting you about opportunities for up to 3 years. • Note: The consent period lasts for 3 years • Recruiting Privacy Policy
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