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.
We are on a mission to develop a machine that predicts the global economy in real-time. Our technology helps organisations plan and optimise business outcomes, thus improving efficiency and protecting the environment.
– causaLens wins ‘Best Investment in Deeptech’. The scaling round was led by a top deep tech investor (see recent press FT, TechCrunch)
– causaLens in the 100 most disruptive UK companies
– causaLens in the Forbes ‘Top 15 Machine Learning Companies to watch in Europe’
-Creativity and ability to come up with ideas to tackle problems on the cutting edge
-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)
-Experience publishing journal papers (Experience with writing grants 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
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.
*Successful candidate will have:
*The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
*Access to guidance, mentorship, and opportunities for turbo-charged professional development
*An employee share option scheme
*A pension scheme
*32 days paid holiday allowance (incl bank holidays)
*Equipment you need to get the job done (MacBook Pro etc.)
*Opportunities for continued learning and self-development, including courses and book budget
*Opportunity to publish work and patents
*Cycle to work scheme
*Regular team outings, pizza Thursdays and annual company retreats
*Fruits, snacks and drinks in the office
*Amazing, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm. We are an international team passionate about innovation and making a difference