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.
causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.
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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.
Our interview process consists of an intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.
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)
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