Data Scientist

Recruiter
causaLens
Location
London (West)
Posted
12 Oct 2018
Closes
17 Oct 2018
Contract Type
Permanent
Hours
Full Time
Summary

We are looking for a motivated and high-achieving Data Scientist to join our team working on an exciting new Big Data/Machine Learning platform. This is a full time placement with significant opportunities for growth and advancement as one of the first employees of the company.

The Company

causaLens is high-tech startup based in London. We are building a machine that predicts the global economy in real-time and are bringing machine learning and big data technologies to the World’s most sophisticated organizations. We are an extraordinary team and the founders have worked for some of the most prominent global hedge funds and scientific institutions.

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.

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