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marshmallow

marshmallow - Pricing Data Scientist

London - Hybrid2d ago
In OfficeStaffEMEABankingInsuranceData ScientistSenior Data ScientistPythonSQL

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. • Own one of the strategic initiatives of the pricing team, such as supporting our expansion plans or protecting our renewing customers. • 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. • 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 pricing support for the launch of multiple new products. • 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 • Experience working in a data driven (ideally commercial) role (quant, credit, fraud etc) • Bonus scheme designed to reward high performance • Private medical insurance with Vitality, mental health support with Oliva • Personal learning budget and 2 dedicated L&D days a year • Monthly flexible benefits budget to spend as you choose • 25 days holiday plus bank holidays • 4 weeks Work From Anywhere per year • We are not able to offer visa sponsorship for this position. • Initial call with a member from our Talent Team (30 mins) • Combined Past Experience & Technical interview (90 mins) • Onsite Culture interviews (90 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.

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