causaLens are the pioneers of Causal AI — a giant leap in machine intelligence.
We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.
As we continue to expand our business, we are looking for a motivated and high-achieving Research Scientist in Machine Learning and Causality to join our Research team based in London on our vision to optimise every business on the planet. 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. We are committed to diversity and are committed to ensuring that everyone feels at home and can contribute as a peer within the business.
Roles and Responsibilities
This is an exciting role for a smart, creative person to focus on research topics in Machine Learning and to extend the cutting edge of Causality. The successful candidate will join the CLX research group focusing on Causality & Blue Sky Research.
PhD in a quantitative field (machine learning / computer science / statistics / physics / mathematics, or comparable)
Research or Industrial experience in Machine Learning, Deep Learning or Reinforcement Learning is necessary
Research or Industrial experience in causality (e.g. causal inference and causal discovery) is a plus
Creativity and ability to come up with ideas to tackle very hard problems and design/implement cutting edge solutions
Ability to translate advanced machine learning algorithms into code (Python preferred)
Smart, capable and can write clean code effectively
Knowledge of the software development lifecycle (version control, tooling, testing, etc.)
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
Current machine learning approaches have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.
causaLens in the News
Best Deeptech Company 2019 - Artificial Intelligence Awards
‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance
‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes
‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times
‘Machine Learning Companies to watch in Europe’ - Forbes
'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire
‘Best Investment in Deeptech’ award - UK Business Angels Association Awards
‘100 Most Disruptive UK Companies’ - Hotwire
We may be biased but we believe you’ll be in good company. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs! This truly is an exciting opportunity to join a fast-growing and agile team, passionate about innovation and making a difference.
We care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:
Share Option Scheme
Generous education and self-development budget
Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)
Work abroad 2 weeks per annum
Cycle to work scheme
Regular team socials inc. ‘Achievements & Global Cuisine Thursdays’ and annual company retreat
Office snacks and drinks to stay refreshed
Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (either in the office or virtually, whatever you feel comfortable with). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.