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.

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The Company

causaLens is a deep-tech startup based in London. We are building a machine that predicts the global economy in real-time utilizing Automated Machine Learning for time-series.

Customers include some of the most prominent hedge funds, banks, technology companies and research institutions in the world.

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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.


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.

Salary range £35,000 — 55,000