Data Scientist
London
marshmallow
Find cheap driving insurance for UK newcomers at Marshmallow. Get fairer prices based on your driving history in any country. Start your quote today!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.
Recruitment privacy policy
We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Machine Learning ML models Privacy Python SQL
Perks/benefits: Career development Flex hours Health care Medical leave Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open MLOps Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Docker-related jobs
- Open Airflow-related jobs