Data Scientist (Commercial)

  • Commercial Team
  • London, United Kingdom

Data Scientist (Commercial)

Job description


Summary

We are looking for a motivated and high-achieving Data Scientist based in London to join a team commercialising the next-generation machine learning technology. This is a full-time placement with significant opportunities for personal development.


We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our World.


The Company

We are on a mission to develop a machine that predicts the global economy in real-time. Our technology helps organisations plan and optimise business outcomes, thus improving efficiency and protecting the environment.

 - causaLens wins 'Best Investment in Deeptech'. The scaling round was led by a top deep tech investor (see recent press FT, TechCrunch)

 - causaLens in the 100 most disruptive UK companies

 - causaLens in the Forbes 'Top 15 Machine Learning Companies to watch in Europe'


Roles and Responsibilities:

This is an exciting role for a smart, creative person with strong technical background and desire for apply his/her skills in a stimulating commercial environment. 


Your work will include:  

  • Research and evaluation of novel use-cases for the causaLens technology 

  • Helping shape the future direction of the technology 

  • Identifying potential customers and proving the value of the technology

  • Facilitating the adoption of the technology in new industries 

  • Helping customers integrate our technology


Benefits


Successful candidate will have:

  • The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference

  • Access to guidance, mentorship, and opportunities for turbo-charged professional development, as one of the first team members in the Commercial Team

  • Competitive salary

  • An employee share option scheme

  • A pension scheme

  • 32 days paid holiday allowance (incl bank holidays)

  • Equipment you need to get the job done (MacBook Pro etc.)

  • Opportunities for continued learning and self-development, including courses and book budget

  • Conference budget

  • Opportunity to publish work and patents

  • Work-from-home days

  • Cycle to work scheme

  • Regular team outings, pizza Thursdays and annual company retreats

  • Fruits, snacks and drinks in the office

  • Amazing, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm. We are an international team passionate about innovation and making a difference 


Hiring Steps

Our interview process consists of a test, intro interview and one on-site visit. We will do our best to transparently communicate the process with the successful candidates.

Requirements

  • Strong academic record (MEng, MSci, EngD or PhD). 

  • Demonstrated ability to discover the business potential of novel technologies

  • Advanced quantitative skills in machine learning/statistics/mathematics or similar fields

  • Ability to apply complex technologies in novel high-value use-cases

  • An excellent written and verbal communicator with a high level of business acumen 

  • Highly capable, self-motivated, collaborative and personable 

  • High integrity and drive 

  • Naturally curious and effective problem solver

  • Ability to effectively work independently in a fast-moving environment

  • Strong coding skills. Preferably in Python