Data Scientist - Applied Science

Job description

Summary

We are looking for a motivated and high-achieving Data Scientist - Applied Science based in London to join the team on our vision to optimise every business on the planet. 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.


Roles and Responsibilities

This is an exciting role for a smart, creative person with a strong technical background and desire to apply his/her skills in a stimulating scientific environment.
Your work will include:

  • Prototyping applied research that goes into the product
  • Helping shape the future direction of the technology
  • Helping customers integrate our technology
  • Helping customers solve problems using our technology
  • Research and evaluation of novel use-cases for the causaLens technology


The Company


Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.


We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.


causaLens in the News


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 an online coding challenge, 3 Technical interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online.

We will do our best to transparently communicate the process with successful candidates.

Job requirements

  • This role is open for candidates of all seniorities, junior to senior.

  • 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