Data Scientist

ToldUntold; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Job summary

ToldUntold is seeking a data scientist to own the models powering our retail intelligence platform in London. You will join across data types from platform events to POS feeds, building correlation analyses that reveal what moves with what and how quickly across markets.

You will design prescription models, ship them with engineers in Shenzhen, and stand behind the numbers in quarterly reviews with clients and account teams. English is the working language; start asap.

Qualifications

• Strong statistical foundation and ability to translate data into actionable insights.
• Applied work on commercial data, ideally retail or POS data.
• Fluent Python and solid SQL; comfortable shipping models with engineers.

Responsibilities

• Join data of diverse shapes: platform events, quiz results, POS feeds, market/country data.
• Build correlation analyses to reveal knowledge-performance links for each maison.
• Design prescription models that suggest content deployment and measure impact.
• Ship models with Shenzhen engineers so they run in product, not notebooks.
• Defend the numbers in quarterly reviews with clients and account teams.

Skills

Python

SQL

Statistics

Job description

About the role

The platform rests on a claim: what store teams know shows up in what stores sell. The intelligence layer exists to test that claim, house by house, and to make it useful. It joins content and quiz data from the platform to sales data from the maisons, at POS, market and country level. This role owns the models inside it.

The work runs from correlation to prescription. First come honest answers about what moves with what, at which lag, in which markets, with the confidence stated plainly. Then come the models that suggest which content to push to which stores, and the evidence that the suggestions were worth taking. You build them with the engineers in Shenzhen, who ship them into the product.

What you will do

• Join data of very different shapes and tempers: platform events, quiz results, POS feeds, market and country data.
• Build the correlation work that gives each maison an honest read on the knowledge-performance link.
• Design the prescription models that suggest what content to push where, and measure whether they earn their keep.
• Ship with the Shenzhen engineers; your models run in the product, not in a notebook.
• Stand behind the numbers with the account managers when the quarterly reviews come round.

What we look for

• A strong statistical foundation. You know what a correlation can and cannot say, and you say it.
• Years of applied work on commercial data, ideally retail or POS data with all its gaps and quirks.
• Fluent Python and solid SQL, and the habit of shipping models with engineers instead of handing them over a wall.
• The judgement to tell a client the data does not show what they hoped, and the tact to make that useful.
• Clear writing. Your findings travel between London, Shenzhen and client HQs, and they have to survive the trip.

Practicalities

Full-time, based in our London office, with three days a week there as the default. The working language is English. Start as soon as you can.