Data Scientist

89 Wimpole Street, Marylebone, London, UK

Job Type

Full-time

About the Company

Evident is a research company that specialises in the measurement of AI and other emerging technologies. We are getting under the hood of how the biggest companies in the world are using and adopting AI, by measuring their AI capabilities better than ever before.

Our new index, The Evident AI Index, will be the first ever public ranking of individual companies on their AI maturity. Our mission is to accelerate AI adoption by radically increasing transparency of how the biggest companies in the world are developing and deploying AI.

Founded in April 2022, our team is led by our Co-Founders Alexandra Mousavizadeh and Annabel Ayles, who have previously built an index business focused on measuring national AI capabilities.

We are backed by leading investors such as Venrex (early backer of Charlotte Tilbury, ME&EM, and Revolut) and DCVC (deep tech investor), and tech commentators including Scott Galloway (Pivot podcast). We are currently a team of 10 people; gearing up to public launch in February; and have plans to be a team of 25 by the end of 2023.

About the Role

This is an exciting role where you will be working across the entire product lifecycle and have the opportunity to shape the product from the start.

This role would be ideal for someone who likes to consider the context of the data they are working with and enjoys testing out new ideas to improve existing processes and products.


Responsibilities:

Work with researchers to scope a research area, evaluate the potential data sources, and find reliable ways to quantify that data.

Build tools and scripts to collect data from a variety of sources via web scraping, third party APIs, and machine learning. Then work with our Data Engineers to get it into production.

Analyse the database you’ve helped to build to provide insights for research products, and then turn your findings into predictive models to forecast trends in the industry.

Help to develop internal packages and software that will make researcher and data scientist lives easier.

Translate research, insights, and final index results into clear and interesting dashboards that will become part of our first product offering.

Requirements

Core skills:


  • Comfortable working independently on semi-structured data problems.


  • 3+ years of programming experience in a statistical or general purpose language such as R, Python, Julia or JavaScript.


  • 3+ years of analysing data and presenting clear insights to both technical and non-technical audiences.


  • Demonstrable experience using dashboarding tools such as Tableau, Looker, Shiny or Dash.


  • Experience, or interest, in web-scraping and data collection techniques.


Nice to have skills:


  • Experience in using Machine Learning techniques for text extraction, NLP or computer vision.


  • Experience in using the Google Cloud suite of products such as big query, and building data models or pipelines.


  • Interest in web development - frontend (React) or backend (Django)


  • Experience working in a start-up.