Data Scientist

On-trade data for drink brands

Tea Time Data shows drink brands exactly what, where and how drinks are consumed in bars, cafés and restaurants (horeca / on-trade). We turn millions of ticket receipts into weekly insights on price, venues, promotions and product mix.

For years, brands relied on wholesaler figures, surveys and gut feeling. We change that with facts, delivered through dashboards and data files that leading drink brands use every week.

What you'll do

Each customer has its own KPIs, ways of working and ways of viewing the market. Your job is to turn our data into answers that fit each of them.

• Build dedicated models for each customer, based on their KPIs, regions and sales organisation.
• Build dashboards that reflect each customer's needs, so their sales and marketing teams can decide on facts.

What we're looking for

• About 3 years of experience as a data scientist or in a similar role.
• A degree in data science, statistics, computer science, engineering or a related field, or equivalent experience.
• Strong skills in Python and SQL. Experience with R, a cloud platform (Azure, AWS or Google Cloud) and Power BI or Tableau is a plus.
• A practical mindset: you like solutions that work in production, not only in a notebook.
• Clear communication in English. French and/or Dutch is a strong plus.
• Interest in FMCG, retail or the drinks market is a bonus.

How we work and what we offer

• Hybrid workplace: a mix of days at our office in Brussels (Ixelles) and working from home.
• Real impact: your models go straight into products that drink brands use every week.
• A unique dataset: a huge database of ticket receipts from the on-trade, a market few people have ever been able to measure.
• An experienced team with years of experience in FMCG, business and data, supported by a strategic Advisory Board and trusted partners.
• Room to grow in a young, growing company where your ideas count.