Overview

Our Client are building the next generation marketplace and setting new standards for e–commerce buyers and sellers worldwide.

They are a UK based tech start–up, founded by three passionate entrepreneurs with a track record of building and exiting successful ventures.

They have just been through a seed funding round and are excited to build this world–class team that is going to reshape the way people buy and sell consumer goods.

We Have a Challenge For Those Who
Live and breath entrepreneurship and are constantly pushing the boundaries to innovate and inspire others.
Are high performers and deliver impact in everything, everyday.
Are motivated by the mission of wowing and setting new standards for customers.
Love team play and strive to build and develop great teams.
Believes that success should be pursued responsibly.
Imagine yourself innovating in dynamic and challenging projects. Responsibilities include:
Perform exploratory and statistical analyses to understand and predict our customer behaviours, identify bottlenecks, and answer critical business questions.
Build and deploy scalable machine learning models and oversee their performance against KPIs.
Forecast our users’ conversion, engagement, and churn with rigorous statistical models
Empower various teams to use Lifetime Value data through the creation of easy to use data views and tools
Build trust algorithms that to replace user–dependent reputation systems.
They work hard to promote a culture of inclusiveness and diversity that seeks equality and values from different perspectives. Our client believe in building trust and fairness amongst people and making a positive impact on the environment.

Should you require reasonable adjustments throughout the hiring process, please don’t hesitate to get in touch with us.
Following release of COVID restrictions, the remote role will adjust to our new London office.

Company:

Unknown company

Qualifications:

Requirements
Been a data scientist or software engineer for 5+ years.
Significant experience with NLP toolkits, e.g. NLTK.
Experience with building machine learning models, e.g. Scikit–Learn or Pytorch.
A solid statistics background.
Experience in dealing with large data sets and creating scalable and replicable solutions for analysis and modelling.
Passion for understanding user behaviour and building solutions to optimise customer experience and growth.
Excellent communication skills and an innate ability to tell stories with data.

Level of experience (years):

Senior (5+ years of experience)

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