Overview

Our client is on a mission to help customers lead healthier lives through easy and relevant food discovery. The company is integrating their AI platform with those of the world’s biggest grocers to make shopping for dietary, allergy, lifestyle and health goals simple. Their platform drives capabilities across loyalty, personalisation, marketing as well as in-store and on-line experiences.

They help food retailers differentiate by ‘personalising health’ at scale to drive market share and sales.

The company is looking for a Data Scientist with strong backgrouns (both academic and professional) in natural language processing, to join their young, vibrant and growing team. The company is offering a great deal of flexibility around where you’re based.

— MISSION —

The role is primarily focussed on analysing historic and real time online and offline purchase

data to deliver information on key KPI’s for the business and its investors.

— RESPONSIBILITIES —

Research, evaluate and present statistical information and machine learning methods to provide actionable insights
Research how to improve customers’ experience, by using our data
Communicate findings to senior leadership and to major stakeholders
Actively contribute to taking the Data function to the next level
Take full ownership of turning discoveries and ideas into machine learning models.

Company:

ExecutiveSurf (Rec.)

Qualifications:

— MAIN REQUIREMENTS —

Extensive experience in working with with Natural Language Processing / NLP / Machine Learning on textual data
BSc/MSc in Maths, Statistics, Physics, Data Science or similar
2-3 years minimum in a data science type role with experience building models and running them in production
High level of Python
Some experience deploying software in the cloud – AWS / GCP
Familiarity with Software engineering best practices – Git & Github, Test driven development
Strong SQL and analytically minded

— DESIRED —

Previous experience as a software developer

Educational level:

Bachelor’s Degree

Level of experience (years):

Mid Career (2+ years of experience)

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