Data Scientist (Research)

Job description

Summary

We are looking for a motivated and high-achieving Data Scientist to join our team working on Automated Machine Learning for time-series. 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 & Responsibilities:

This is an exciting role for a smart, creative person to take point on research and development of sophisticated, cutting-edge platform for machine learning on time series data.


Benefits

The 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

  • 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.

Job requirements

  • Creativity and ability to come up with ideas to tackle problems on the cutting edge
  • Strong academic record (PhD & PostDoc preferred)

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

  • Ability to translate advanced machine learning algorithms into code (Python preferred)

  • Experience publishing journal papers (Experience with writing grants preferred)
  • Highly capable, self-motivated, collaborative and personable

  • Ability to demonstrate integrity and drive

  • Naturally curious and effective problem solver

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

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