At a Glance
- Tasks: Drive pricing innovation and analysis using cutting-edge data science techniques.
- Company: Join a dynamic team at Marshmallow, where your ideas matter.
- Benefits: Enjoy flexible working, competitive bonuses, and personal development budgets.
- Other info: Access to extensive data and opportunities for career growth.
- Why this job: Make a real impact with your models and work in a fun, collaborative environment.
- Qualifications: 3+ years in data-driven roles, proficient in SQL and Python/R.
The predicted salary is between 60000 - 75000 € per year.
Pricing at Marshmallow. This role will sit in the Pricing Team, reporting into the Pricing Data Science Manager. The team is responsible for managing our loss ratio, underwriting footprint, broker optimisation and growth targets, proving integral to driving the business forwards. 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 significant contributions to the business, taking ownership, moving fast, innovating and delivering changes to our rates at high frequency. We don’t just churn out GLMs all day. We build & deploy exceptional in‑house pricing data science models using the latest modelling techniques. You’ll work alongside other Pricing Data Scientists & Analysts pushing innovative pricing projects, whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements. 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. 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:
- 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.
- 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.
- Identifying 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 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 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.
- At least 3 years of experience working in a data driven (ideally commercial) role.
Perks of the job:
- Flexible working: Spend 2-3 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.
- 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; 25 days holiday, pension, cycle to work scheme, monthly team socials and company‑wide socials every month!
We are able to offer visa sponsorship for this position. 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.
Senior Pricing Data Scientist employer: Dangote Industries Limited
At Marshmallow, we pride ourselves on fostering a dynamic and innovative work culture where every team member has the opportunity to make a significant impact. With access to extensive data and cutting-edge technology, our Senior Pricing Data Scientists can unleash their creativity and drive meaningful change in a supportive environment that values personal growth and collaboration. Enjoy flexible working arrangements, competitive benefits, and a vibrant team atmosphere in our London office, making Marshmallow an exceptional place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Data Scientist
✨Tip Number 1
Get to know the company inside out! Research Marshmallow's pricing strategies and recent projects. This will help you tailor your conversations during interviews and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice explaining your thought process clearly, as being able to communicate complex ideas simply is key in this role.
✨Tip Number 4
Don’t forget to showcase your creativity! Think of innovative pricing models or data analysis techniques you could bring to the team. Presenting fresh ideas can really set you apart from other candidates.
We think you need these skills to ace Senior Pricing Data Scientist
Some tips for your application 🫡
Show Your Passion for Data Science:When you're writing your application, let your enthusiasm for data science shine through! Talk about your experiences with SQL and Python, and how you've used them to drive real-world impact. We love seeing candidates who are genuinely excited about the work they do.
Be Specific About Your Achievements:Don't just list your responsibilities; highlight specific projects or achievements that demonstrate your skills. Whether it's a model you built or an analysis that led to significant insights, we want to know how you've made a difference in your previous roles.
Communicate Clearly:Remember, we value clear communication! Make sure your application is easy to read and understand. Use simple language to explain complex concepts, as this shows you can communicate effectively with both technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and keen to join our team at Marshmallow!
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. Be prepared to discuss how you would derive insights from this data to enhance pricing strategies. Showing that you understand their unique approach will set you apart.
✨Showcase Your Modelling Skills
Brush up on your SQL and Python skills, especially in building GLMs and GBMs. Be ready to share examples of your past work where you've successfully implemented models that had a real-world impact. This is your chance to demonstrate your technical prowess!
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to communicate your ideas to non-experts, so think about how you can break down your modelling processes and findings. Clear communication can make a huge difference in getting buy-in from stakeholders.
✨Be Proactive and Opinionated
Prepare to discuss how you’ve driven growth in previous roles by identifying new opportunities. Don’t shy away from sharing your opinions on pricing strategies or data sources. Marshmallow values ownership and innovation, so show them you’re ready to take charge!
