We are looking for a motivated and high-achieving Data Scientist based in London to join a team commercialising the next-generation machine learning technology. 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 with strong technical background and desire for apply his/her skills in a stimulating commercial environment.
Your work will include:
Research and evaluation of novel use-cases for the causaLens technology
Helping shape the future direction of the technology
Identifying potential customers and proving the value of the technology
Facilitating the adoption of the technology in new industries
Helping customers integrate our technology
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.
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