We are looking for scientists with an interest in solving practical problems with data. Applied Data Scientist- R&D team members will bridge the gap between theoretical research and business applications, developing new methods and rapidly prototyping solutions. This is a role for pragmatic and resourceful scientists who have a deep passion for mathematics and track record in solving difficult problems using quantitative methods.
Roles and Responsibilities
This is an exciting role for a smart, creative person with a strong technical background and desire to apply their skills in a stimulating scientific environment. Every industry and every problem is in scope, from high frequency trading to supply chain optimization. Some of your responsibilities will include:
Working on large datasets to derive causal relationships, predict and optimise KPIs
Developing custom algorithms and methods to solve specific problems for which there's no available method out-of-the-box
Work with the commercial team to deliver simple explanations for complex models and observed phenomena
Expand the ways in which humans can interact with, understand and shape AI models.
Shaping the future direction of the technology by suggesting and developing novel applications and new platform features.
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.
Strong academic record (MEng, MSci, or PhD)
Deep knowledge of statistical methods and fundamental aspects of ML
Development experience in Python (required)
Good communication skills, ability to interact with internal and external stakeholders
Highly capable, self-motivated, collaborative, and personable
Ability to demonstrate high integrity and drive
Naturally curious, creative, and effective problem solver with the ability to come up with ideas to tackle problems on the cutting edge
Ability to effectively work independently
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.
Benefits 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.
We’d love your feedback!
We'll ask you just three quick questions that should take no longer than a couple of minutes to answer.
Your feedback, whether good or bad, is so appreciated and will help us make the right improvements!