You will develop the machine learning models powering demand forecasting and pricing optimization for global retail brands. Working alongside the Principal Data Scientist, you will own the full model lifecycle—from design and testing to production deployment on GCP—ensuring solutions are scalable, robust, and deliver actionable commercial insights.
Data Scientist / Senior Data Scientist at Sparkbox
Join Sparkbox.ai, a venture-backed London startup revolutionizing retail merchandising with machine learning. Recognized by Forbes and Tech Nation, Sparkbox.ai builds AI-driven demand forecasting and pricing tools for global brands like New Balance and River Island. As a Data Scientist, you’ll own the full ML lifecycle—designing, deploying, and improving predictive models on GCP. If you’re a Python expert who values production-quality code and wants to see your work directly impact the bottom line of major retailers, this is your chance to join a lean, high-impact team in Holborn.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Sparkbox
Role overview
Sparkbox.ai is a technology company that provides an AI‑driven retail planning, price optimisation, and insights platform for merchandising teams in fashion and other seasonal retail sectors.[1][4][8][19] Its software uses trading data and machine learning to forecast demand at product and location level, recommend optimal prices including markdowns and promotions, automate buying decisions, and improve stock allocation and replenishment across channels.[1][6][19][27] By enabling busy merchandising, supply chain, and finance teams to make data‑driven pricing and inventory decisions, Sparkbox.ai helps retailers improve full‑price sell‑through, increase margins on markdowns, reduce waste, and reach sell‑through and profitability targets more reliably.[1][6][18][27] The company operates as a B2B SaaS provider focused on modernising merchandising through analytics, business/productivity software and smart retail technology, serving apparel, accessories, home, furniture and sporting goods retailers.[8][19][29]
What you will do
- Design and improve predictive ML models for price optimization and demand forecasting using Python and cloud-based infrastructure.
- Build end-to-end production solutions following strict software engineering practices, including unit testing, Git best practices, and object-oriented programming.
- Analyze complex retail datasets to uncover actionable insights that inform product strategy and commercial decision-making for enterprise clients.
Who this is a fit for
- Proven experience applying predictive machine learning to real-world problems with production-quality Python code using scikit-learn and pandas.
- Hands-on expertise deploying and maintaining ML models in cloud environments, specifically GCP or similar platforms.
- Strong software engineering foundations, including unit testing and the ability to write clean, scalable code beyond simple notebooks.
Why this role is remarkable
- Work on real-world ML problems that directly impact margins and sustainability for major global retailers like River Island and New Balance.
- Join a high-growth, venture-backed startup recognized by Forbes and Tech Nation as one of the UK’s most innovative early-stage tech companies.
- Experience a high level of ownership, seeing your models move from development to production deployment quickly within a lean, expert team.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Sparkbox wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.