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global_economy.predict().optimize()

Business Problem Solver (Jared)

£20k – £60k • 0.0% – 1.0%
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Summary

We are looking for a motivated and high-achieving Business Problem Solver (https://silicon-valley.fandom.com/wiki/Jared_Dunn) based in London to join the team working on our exciting machine learning product. 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 is pioneering a completely new approach to time-series prediction. Its Enterprise Platform is used to transform and optimise businesses that need accurate and robust predictions – including significant businesses in finance, IoT, energy and telecoms. Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to devise Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. The platform also includes capabilities such as autonomous data cleaning and searching, autonomous model discovery and end-to-end streaming productisation.

causaLens is on a mission to build truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.

causaLens is run by scientists and engineers, the majority 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

Best Deeptech Company 2019 - Artificial Intelligence Awards
‘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

Solving the hardest Business Problems is a prerequisite for our growth. We are looking for exceptional and ambitious individuals with technical background to help us solve problems around Recruitment, Business Development, Intelligence and much more. Brilliant Engineers and Data Scientists need a Jared!

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 intelligence test, interview and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.

**Job requirements

  • STEM Degree
  • Confident with Multi-Tasking
  • No previous experience required. We appreciate intelligence & grit.
  • A high degree of Emotional Intelligence and communication skills
  • Strong analytical, time management, prioritisation and organizational skills
  • Full time and based in our office in London

causaLens at a glance

global_economy.predict().optimize()

causaLens focuses on Global. Their company has offices in London. They have a small team that's between 11-50 employees.

You can view their website at http://causalens.com or find them on Twitter and LinkedIn.

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