At a Glance
- Tasks: Analyse data to enhance pricing strategies and drive decision-making.
- Company: Join Marshmallow, a tech-driven company making migration easier for millions.
- Benefits: Enjoy hybrid working, competitive bonuses, and a flexible benefits budget.
- Other info: Be part of an inclusive culture that values diverse backgrounds and perspectives.
- Why this job: Make a real-world impact with your data science skills in a fast-paced environment.
- Qualifications: Experience in data science, SQL, and Python required.
The predicted salary is between 60000 - 80000 € per year.
We exist to make migration easy. Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we're not standing still. Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next. Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together.
Pricing at Marshmallow
Pricing at Marshmallow is where the mission gets real — delivering unbeatable prices that make migration easy. You'll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn't a buzzword here — you'll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency.
What you’ll be doing
- Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.
- Contribute to key pricing initiatives, including expansion plans and customer retention efforts.
- Communicate analytical findings effectively to senior leaders and cross-functional teams.
- Conduct data analysis using SQL and Python to drive decision-making.
- Support the deployment of models in APIs for real-time pricing applications.
- Collaborate with pricing team members to recommend changes and track their impact.
- Assess new external data sources to refine claims risk evaluation and quantify their value.
- Monitor the performance of our business and contribute to our governance and control processes such as reviewing business mix and segmental loss ratio performance.
- Work closely with Engineering and ML Engineering teams to implement pricing strategies.
Who are you?
- Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change.
- Technical: You aren’t afraid to learn new skills across Data Science & Insurance.
- Commercial: You want to deliver real world impact, not report on it.
- Curious: You aren’t satisfied with ‘That’s just how it is’; you immediately investigate further.
- 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.
What skills are we looking for from you?
- Ability to interrogate data and conduct pricing analysis within SQL & Python.
- Ability to build GLMs, GBMs and other models within Python.
- Prior experience in a data science role or STEM degree.
Our Process
We break it up into 3 stages:
- Initial screening call with a member of the TA team (30 mins).
- Past experience interview with our VP Insurance (60 minutes).
- A technical interview (90 mins).
- A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins).
Perks of the job
- Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you.
- 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; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!
Background checks
As part of our commitment to maintaining a safe and trustworthy environment, we’ll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this!
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.
Lead Pricing Data Scientist employer: Dangote Industries Limited
At Marshmallow, we pride ourselves on being an exceptional employer that fosters a culture of ownership, collaboration, and continuous growth. Our London office offers a vibrant work environment with hybrid working options, competitive bonuses, and a flexible benefits budget, ensuring that our employees can thrive both personally and professionally. With a strong commitment to mental wellbeing and development opportunities, we empower our team to drive meaningful change in the migration space while enjoying a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Pricing Data Scientist
✨Tip Number 1
Get to know Marshmallow inside out! Research our mission, values, and recent projects. This way, when you chat with us, you can show off your knowledge and passion for making migration easy.
✨Tip Number 2
Practice your communication skills! You’ll need to explain complex data insights simply. Try explaining your past projects to friends or family who aren’t in the field – it’s a great way to prepare for those interviews.
✨Tip Number 3
Be ready to showcase your technical skills! Brush up on SQL and Python, and maybe even work on a small project that demonstrates your ability to analyse data and build models. We love seeing practical examples of your work!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to our growth.
We think you need these skills to ace Lead Pricing Data Scientist
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about making migration easier and how your skills can contribute to our mission.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience and skills that match the job description. We love seeing how your background aligns with what we do at Marshmallow, especially in data science and pricing!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. Remember, we want to understand your impact quickly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your Data Inside Out
Before the interview, dive deep into Marshmallow’s quote, policy, and claims data. Familiarise yourself with how these elements influence pricing strategies. Being able to discuss specific insights or trends you've noticed will show your proactive nature and understanding of the role.
✨Brush Up on Your Technical Skills
Make sure you're comfortable with SQL and Python, as these are crucial for the role. Practise writing queries and building models in Python. You might even want to prepare a small project or example that showcases your skills, so you can discuss it during the technical interview.
✨Communicate Clearly and Confidently
Since you'll need to explain complex concepts to non-experts, practice simplifying your explanations. Think about how you would present your findings to a senior leader or a cross-functional team. Clear communication can set you apart from other candidates.
✨Show Your Curiosity and Ownership
During the interview, demonstrate your curiosity by asking insightful questions about the company’s pricing strategies and future plans. Share examples of how you've taken ownership in past roles, especially when identifying new opportunities or driving change. This aligns perfectly with Marshmallow's values.