Summary 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. The Company 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 in the News
- ‘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
- ‘Auto ML Platform Draws Interest from Discretionary Funds’ – machineByte
- ‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ – Financial Times
- ‘Machine Learning Companies to watch in Europe’ – Forbes
- ‘Best Investment in Deeptech’ award – UK Business Angels Association awards
- ‘100 Most Disruptive UK Companies’ – Hotwire
- ‘causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ – Newswire
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. Benefits
- The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
- An employee share option scheme
- Competitive salary
- 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, conferences and book budget
- Flexible work-from-home and remote days
- Cycle to work scheme
- Weekly journal club and knowledge sharing presentations
- Regular team outings, pizza Thursdays and annual company retreats
- Fruits, snacks and soft drinks in the office
- Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm.
Logistics Our interview process consists of an intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates. Requirements
- 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 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
Apply Please send your CV and application letter to join@causaLens.com.