Pricing Manager - e-commerce

London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager - Telematics

Senior Geospatial Data Scientist

Senior Data Scientist

Geospatial Data Scientist

Sr. Data Scientist

Senior Data Scientist

I'm recruiting for a Pricing Manager to join a growing e-commerce business on a predominantly remote basis, with travel to Stratford for occasional meetings (1-2 times per month). As the fastest-growing business in their particular niche, this is an incredibly important role for them.

As the dedicated Pricing Manager, you will aim to drive profitability through the implementation of data-driven pricing strategies, and the formulation of long-term pricing roadmaps.

This will involve creating pricing experiments to refine models (e.g. through A/B testing and price elasticity methods), and conducting market and competitor analysis to inform pricing decisions.

You'll work closely with various stakeholder groups including the Data Science team to leverage techniques like predictive analytics, the Sales team, and Senior Management to ensure you strategies are aligned with business goals.

This role would be well-suited to a pricing professional with strong skills in SQL, who is keen to play a crucial role in driving this business' continued success.

Requirements

Experience in designing and implementing pricing strategies
Experience working in the e-commerce space is highly desirable
Experience designing pricing experiments - A/B testing, elasticity etc.
Strong SQL skills
Skills in R or Python would be desirable
Excellent stakeholder engagement and relationship building skillsBenefits

Salary up to around £80,000 depending on experience
24 days annual leave, increasing to 27 days with service
Health cash plan

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.