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14 Jan 2020

Full-timeData Scentist

causaLens – Posted by Apostolos Lymperis London, Greater London, England, United Kingdom

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 in the News

  • “Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies” – Yahoo Finance [Link]
  • causaLens in “The U.K.’s Most Exciting AI Startups Race To Scale” [Link]
  • causaLens’ Auto ML Platform Draws Interest from Discretionary Funds [Link]
  • causaLens wins the “Best Investment in Deeptech” award by the UK Business Angels Association awards [Link]
  • causaLens in the 100 most disruptive UK companies [Link]
  • Financial Times – ‘AllianzGI taps virtual data scientists amid war for talent’ [Link]
  • Forbes – ‘Machine Learning Companies to watch in Europe’ [Link]
    causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board [Link]

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

How to Apply

e-mail CV and cover letter to join@causalens.com or https://causalens.recruitee.com/o/data-scientist-research

Job Categories: Technology. Job Types: Full-time. Salaries: Competitive.

Job expires in 359 days.

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