At a Glance
- Tasks: Own and improve pricing models that impact real customer experiences.
- Company: Dynamic tech company focused on innovation and customer impact.
- Benefits: Top-tier salary, equity, generous PTO, and a $3,000/year learning budget.
- Other info: Collaborative environment with opportunities for mentorship and growth.
- Why this job: Make a real difference from day one and see your work in action.
- Qualifications: Strong background in your field and excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Own the pricing models that decide the price of every ancillary, every shop.
Science London / Remote Full-time
About the role
Own the pricing models that decide the price of every ancillary, every shop.
You'll work alongside the people who built the system you'll be improving — and you'll have direct customer impact within your first quarter.
What you'll do
- Own a meaningful slice of the product or platform from day one.
- Ship to production weekly — and watch real customer metrics move.
- Partner with customers' technical and commercial teams on real deployments.
- Mentor others in your craft and lift the team's bar over time.
What we're looking for
- Demonstrable depth in your craft — work you can talk about specifically and proudly.
- A bias for shipping. We trust velocity more than polish.
- Strong written communication. We default to writing.
- Comfort with ambiguity and a desire for ownership.
Compensation
Top-of-market cash, generous equity, real PTO, $3,000/year learning budget, and 16+ weeks parental leave globally. Specifics shared in the first conversation — no games.
How we hire
Three conversations: a 30-minute intro, a 90-minute deep-dive on your craft, and a half-day on-site or virtual with the team you'd join.
We give detailed feedback whether or not we extend an offer.
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StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, Pricing Science London / Remote
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We think you need these skills to ace Applied Scientist, Pricing Science London / Remote
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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How to prepare for a job interview at Ancillaryoffers
✨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
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✨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.
