Data Scientist (Commercial)

Job description


Summary

We are looking for a motivated and high-achieving Data Scientist based in London to join a team commercialising the next-generation machine learning technology. 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


causaLens leads causal AI research. Causality is a major step towards developing true AI. Our technology transforms organisations by autonomously discovering valuable insights that optimise business outcomes. Our flagship product, time-series prediction engine, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and is increasingly being used in a wide range of industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.

causaLens in the News

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 and proving the value of the technology

  • Facilitating the adoption of the technology in new industries 

  • Helping customers integrate our technology


Benefits

  • The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
  • Competitive remuneration
  • Share option scheme
  • Pension scheme
  • 32 days paid holiday allowance (incl. bank holidays)
  • Equipment you need to get the job done (MacBook Pro etc.)
  • Good work-life balance
  • 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 a test, intro interview and one on-site visit. We will do our best to transparently communicate the process with the successful candidates.

Job requirements

  • Strong academic record (MEng, MSci, EngD or PhD). 

  • Demonstrated ability to discover the 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

  • Strong coding skills. Preferably in Python