At a Glance
- Tasks: Drive innovative pricing strategies and enhance data-driven insights for Marshmallow's growth.
- Company: Join a mission-driven insurtech revolutionising fair pricing for underserved customers.
- Benefits: Enjoy hybrid working, competitive bonuses, flexible benefits, and personal development budgets.
- Other info: Be part of an inclusive culture that values diverse perspectives and encourages growth.
- Why this job: Make a real impact in a fun, collaborative environment with autonomy and creative freedom.
- Qualifications: Proven data science skills, experience in modelling, and a proactive mindset.
The predicted salary is between 60000 - 80000 £ per year.
About Marshmallow
We started Marshmallow when we found out how unfair insurance prices are for people who move to the UK. All because the industry hasn’t given this huge cohort of people a second’s thought, and isn’t set up to price them properly. We saw an opportunity to do things differently, so we made it our mission to back the ones who step outside the norm. Since we started, we’ve helped 100,000s of people get a fairer deal on their car insurance. Using technology, we serve people that are often overlooked by financial services companies, solving important problems for people who need it most.
We know there are millions of marginalised customers out there. And we know that they face unique problems that most companies aren’t even aware of. We believe that our future is helping these people by learning about their experiences, and building our company around their needs. And there are strong signs that there’s a need for a company like us. Earlier this year we hit profitability, which is a huge milestone, but the most exciting thing is that we’re only just getting started.
How we work
We’re really proud of the culture we’ve created. We push for progress every day, because we know that we’ll only hit big milestones by taking lots of smaller steps. We’re always open to helping our team mates, sharing our ideas, experience and knowledge to solve problems together. We take risks, think creatively and experiment relentlessly to meet our customer’s needs, and never pass blame when things go wrong. We encourage people at all levels to take ownership of their work, and to be bold in challenging how we do things. Everyone has a voice and the opportunity to make an impact.
And autonomy and ownership are only possible with clear direction. That’s why we collaborate to do in-depth planning twice a year, and make sure we leave with clear goals and objectives that flow from top to bottom. To make sure we’re as aligned as possible across functions, most of our work rolls up into four tribes; Acquisition, Retention, Claims and Pricing, Underwriting & Fraud. Each tribe has multiple teams embedded in it, working cross-functionally to do great work.
We’re so excited for all of the challenges up ahead, and we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our culture handbook or read our blog to find out more.
Pricing at Marshmallow
This role will sit in the Pricing Team, reporting into the Head of Pricing. The team is responsible for managing our loss ratio, underwriting footprint, broker optimisation and growth targets. This means that the Pricing Team is integral to driving the business forwards. But you’ve probably read that all before! So what’s new?
We work in a very different way to most pricing teams that you might be familiar with. Everyone in Pricing has the potential to make a massive contribution to the business, so we all take ownership, move fast, innovate and deliver changes to our rates at high frequency.
A fantastic aspect of working at Marshmallow is that we have the backing of our senior leadership team to make decisions and take action autonomously. We’re the masters of our own destiny and we aren’t tied down with vast amounts of red tape! We analyse, implement, learn and iterate rate changes before most pricing teams have had their Shreddies.
You’ll also be excited to know that we don’t just churn out GLMs all day. We build & deploy exceptional in-house pricing data science models using the latest modeling techniques. You’ll work alongside other Pricing Data Scientists & Analysts pushing their innovative pricing projects; whilst also being able to work with the wider Data Science community on modeling customer behaviour, fraud & ML engineering enhancements. We know first hand what a powerful combination this is!
We work alongside a bunch of amazing engineers who ensure we can implement our decisions quickly. We also have access to huge amounts of data. We don’t just mean your standard policy, claims and quote data. Our engineers spend their lives building APIs to third parties so that we know more about our customers than any of our competitors.
All of this means that you’ll have access to as much data as you can handle, the freedom to be creative, the backing of senior leaders to make decisions, and the ability to see your ideas implemented rapidly. And on top of all of that, we’re a pretty fun group to hang around with!
What you’ll be doing
- Develop 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 & ML engineering 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 data science 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.
Perks of the job
- Hybrid working: Spend 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. Whether that’s subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes.
- Sabbatical Leave: Get a 4‑week fully paid sabbatical after being with us for 4 years.
- Work From Anywhere: 4 weeks of work from anywhere to use, with no need to come to the office.
- 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.
- Tech scheme: Get the latest tech for less.
- Plus all the rest; 33 days holiday, pension, cycle‑to‑work scheme, monthly team socials and company‑wide socials every month!
Everyone belongs at Marshmallow
At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we’re committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We’re working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.
Recruitment privacy policy
We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data.
Senior Pricing Data Scientist, Retail Pricing employer: Dormont Manufacturing Co
At Marshmallow, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to take ownership of their projects and drive meaningful change. With a strong focus on innovation, collaboration, and personal growth, we offer competitive benefits including hybrid working, flexible budgets for personal development, and a supportive environment that values diverse perspectives. Located in London, our team enjoys the unique advantage of working closely with cutting-edge technology and data, all while contributing to a mission that seeks to provide fairer insurance solutions for underserved communities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Data Scientist, Retail Pricing
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We think you need these skills to ace Senior Pricing Data Scientist, Retail Pricing
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.