Data Scientist

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.

The Data Science Team

We're here to generate insights and actions from all the data we can get our hands on. This includes analytics, predictive modelling, and prescriptive recommendations. We deliver high-impact work to the business, focusing on high-risk, high-reward projects, and making sure all decisions are data-driven.

We’re looking for a Data Scientist to help us push our acquisition and retention tribes to the next level. We want to make our sign up journey best-in-class, tailored to exactly what our different types of customers are looking for. We also want to make their experience with us the best it can be when it comes to making adjustments to their policy, considering cancelling and when they come up for renewal. To do this we need to understand their pain points and effectively act on them, all the while maintaining strong financials. We believe a Data Scientist with a proactive nature and a real desire to own and drive a business area forward could have a huge impact.

This is only the beginning of Data Science’s journey to be a key innovator at Marshmallow and in the wider insurance industry.

What you’ll be doing

• Improving how we present and price our different products when new customers are signing up, and working on how we can retain those customers for longer to drive up retention
• Work within a cross-functional team (engineers, designers, analysts, product manager) and become an expert in your area
• Influence and input to the team’s roadmap and priorities using data to quantify new opportunities
• Be a champion of data and solidify data-driven process within the team
• Design and monitor A/B tests isolate the impact of initiatives

Who you are

• You have a commercial mindset, focussed on delivering impact to the business as quickly as possible
• You can communicate clearly with people of all technical levels and disciplines.
• You want to discover and scope new opportunities that may be uncharted territory
• You see the value in and push for solid data foundations, facilitating more complex analytics/ML projects

What we're looking for from you

Experiences that are essential

• Experience building future-proof data models and analytics products
• Experience driving business action and impact from data-driven insights
• Experience developing ML models to answer business cases
• Strong coding ability in Python, SQL
• Ability to manipulate large data sets
• At least 1-2 years commercial experience

Experiences that will help you

• Experience working in cross-functional teams
• Experience managing a team
• Experience in a high-growth company

Perks of the job

• Flexi-office working – Spend at least 3 days a week with your team in our new collaborative London office. The rest is up to you! 🏠
• Flexible benefits budget - £50 per month to spend wherever you like on a Ben Mastercard 💰
• 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 🤓
• Mental wellbeing support – Access therapy and mental health sessions through Self Space, and sign up for your free subscription to Calm 💚
• Equity – Get options in Marshmallow as part of your offer, and have a real stake in the company’s success 📈
• 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; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!

Our process

We break it up into 3 stages:

• Initial call with Luke, our Talent Acquisition Partner (45 mins)
• A previous experience interview where you will discuss your journey so far and ways of working with Paul, our Head of Data Science (45 minutes)
• A technical interview with one of our Senior Data Scientists (1 hr)
• A culture interview with a bar raiser to see if your work style fits our processes and values (1 hour)
• We’ll let you know if you’re invited to an interview or not. But, as a small team with a lot of applications to consider, we can’t give personal feedback on each application.

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.