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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

Summary

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 www.causaLens.com 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.

Benefits:

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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