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11 Feb 2019

Full-timeData Scientist – Commercial Team

causaLens – Posted by Apostolos Lymperis London, Greater London, England, United Kingdom

Job Description


We are looking for a motivated and high-achieving individual to join our team to work on bringing novel cutting edge predictive technology to a number of industries. This is a full time placement at the company HQ in London. The role offers significant opportunities for growth and advancement.

The Company

causaLens is a deep-tech startup based in London - on a mission to develop a machine that predicts the global economy in real-time. We develop the next generation of autonomous predictive technology for complex and dynamic systems. Our technology helps large organisations optimise business outcomes at scale.
Visit to find out more.

Core requirements:

- Strong academic record (MEng, MSci or PhD).
- Demonstrated ability to discover 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.

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
- facilitating the adoption of the technology in new industries
- helping customers integrate our technology.


Successful candidate will have the opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference. We will offer guidance, mentorship,and opportunities for turbo-charged professional development.

How to Apply

Through the "apply" form or here

Job Categories: Other Jobs. Job Types: Full-time. Job Tags: Automated Machine Learning, business development, and Customer Facing. Salaries: Competitive.

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