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11 Feb 2019

Full-timeData Scientist

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 growth and advancement as one of the first employees of the company.
Visit www.causalens.com for more details.

The Company

causaLens is a deep-tech startup based in London - on a mission to develop a machine that predicts the global economy in real-time. We develop the next generation of autonomous predictive technology for complex and dynamic systems. Our technology helps large organisations optimise business outcomes at scale.

Core requirements

- Creativity and ability to come up with ideas to tackle very hard problems and design/implement cutting edge solutions
- 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

Roles and 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

Successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship, and opportunities for turbo-charged professional development.

How to Apply

Apply via the "apply" form or here

Job Categories: Programming. Job Types: Full-time. Job Tags: Automated Machine Learning, machine learning, python, and Time Series. Salaries: Competitive.

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