Overview

Harnham are working with a tech start-up (search engine) who are currently building a Data Science team. You will work directly with the CTO on a range of interesting problems and techniques, including Natural Language Processing (NLP), recommender systems, semantic search and information retrieval.
This particular company has one of the biggest data sets out there (we’re talking hundreds of millions of products!) and there is a definite greenfield element to the role for you to really work creatively and with freedom.
The most important aspect of your job will be in finding new and innovative ways to monetise the data they have, and contributing to fresh ideas generated.
THE ROLE
As a Data Scientist You Will Be
Applying advanced machine learning and NLP techniques to drive business decisions
Making sense of complex unstructured data sets
Researching and developing new techniques for the team to utilise
Helping the business define Data Science strategy and working on new ways to make the most of data

Company:

Harnham

Qualifications:

A deep knowledge of machine learning
Extensive experience in NLP (natural language processing) / information retrieval
Strong programming/coding abilities in at least one language (Python preferred)
A Ph.D. level education in a quantitative subject such as NLP, Information Retrieval or Machine Learning.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying

https://www.harnham.com/job/data-scientist-machine-learning-nlp–jobid-vacnm-8847

Tagged as: , , , , , ,

About Harnham

Data and Analytics recruitment is our core business and we’re proud to say, our customers believe we’re good at it. In our most recent customer satisfaction survey, 95% of respondents said that they would recommend Harnham.

Harnham have actively chosen to focus on Data and Analytics, we’ve immersed ourselves in this market and are now an integral part of this business community.

Our capability has grown to provide recruitment services and advice across the Marketing and Insight, Credit Risk, Data and Technology and Digital sectors.