We are looking for a motivated and high-achieving Data Scientist - Applied Science based in London to join the team working on our exciting machine learning product. 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 is pioneering a completely new approach to time-series prediction. Its Enterprise Platform is used to transform and optimise businesses that need accurate and robust predictions – including significant businesses in finance, IoT, energy and telecoms. Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to devise Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. The platform also includes capabilities such as autonomous data cleaning and searching, autonomous model discovery and end-to-end streaming productisation.
causaLens is on a mission to build truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.
causaLens is run by scientists and engineers, the majority 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 with a strong technical background and desire to apply his/her skills in a stimulating scientific environment.
Your work will include:
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.
This role is open for candidates of all seniorities, junior to senior.
Strong academic record (MEng, MSci, EngD or PhD).
Demonstrated ability to discover the business potential of novel technologies
Advanced quantitative skills in machine learning/statistics/mathematics or similar fields
Ability to apply complex technologies in novel high-value use-cases
An excellent written and verbal communicator with a high level of business acumen
Highly capable, self-motivated, collaborative and personable
High integrity and drive
Naturally curious and effective problem solver
Ability to effectively work independently in a fast-moving environment
Strong coding skills. Preferably in Python