Data Scientist, Sparkbox
More information about location
ML-powered merchandising tools
Job no longer available
ML-powered merchandising tools
1-20 employees
Job no longer available
More information about location
1-20 employees
Company mission
Sparkbox's mission is to modernise merchandising, eliminate guesswork, and empower humans with the tools they need to make data-driven retail decisions.
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Company mission
Sparkbox's mission is to modernise merchandising, eliminate guesswork, and empower humans with the tools they need to make data-driven retail decisions.
Few candidates hear
back within 2 weeks
55% female employees
Our take
Many retailers are still depending on antiquated manual processes to make inventory decisions. With the events of recent years, however, it’s become clear that failing to use accurate, data-driven insights to ensure good merchandise stock can take a heavy toll on business. Sparkbox is an AI-first startup hoping to change that. It helps brands optimise pricing, forecast demand, act on rebuying opportunities, and ensure their inventory is available across broader wholesale and 3rd party channels.
Profitability isn't the only benefit Sparkbox can sell itelf on, though. Data-driven fashion merchandising will help businesses get ahead of increasing levels of social and regulatory scrutiny regarding waste. The fashion industry is reported to generate around one tenth of all global carbon emissions, and in the UK alone around £140M worth of clothing ends up in landfill every year. So Sparkbox’s service is good for profit, but also increasingly good for business in a consumer market ever-more preoccupied with ethical values.
Kirsty
Company Specialist at Welcome to the Jungle
Benefits
- Flexible working - We are open to discussing part time or flexible working opportunities
- Occasional travel - To conferences, trade shows, or trips to work with colleagues in our London/Manchester hubs
- Extensive Development Opportunities: We encourage our team members to contribute based on their interests, and we’ll provide opportunities to work cross functionally across the business. Tell us what you need, and we’ll make it happen: we are committed to promoting great talent as our business and our needs grow
- 33 days holiday (25 days annual leave + UK bank holidays)
- Health cash plan
- Stock options - We offer team members part ownership of our company as we believe you should be rewarded for being part of our growth
Company values
- We race to value: Our customers and partners don’t have time or energy to waste - we keep it simple and add value quickly
- We win as a team: We are energetic, collaborative, and open to diverse ideas. We love a great debate, but when we make a decision, we commit to it. We have fun and we don’t take ourselves too seriously
- We do the right thing: We have integrity and we treat our colleagues, partners, and customers with the respect we expect
- We are always learning: We are curious, resourceful, and we don’t shy away from big challenges
- We are fiercely proud of our work: We’re not always perfect, but we care about delivering exceptional products and services we can be proud of
- We are data-driven: We practice what we preach!
Funding (1 round)
Mar 2022
$1.9m
SEED
Total funding: $1.9m
This company has top investors
Leadership
Matt Wong
(Co-founder)Former project analyst with Balfour Beatty, ex retail consultant, and Forbes 30 under 30 recipient. Leads on Software development.
Lindsay Fisher
(Co-founder)Former fashion merchandiser, ex merchandising consultant, and Forbes 30 under 30 recipient. Leads on business development and customer success.
Kevin Blackmore
(Co-founder)25+ years of retail analytics experience, incl. as a Partner at Accenture and Vice-President of Insights at Best Buy. Leads on machine learning and data science.