About us

What we stand for

vision = global_economy.predict().optimize()

causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true AI. Its enterprise platform is used to transform leading businesses in Finance, IoT, Energy, Telecommunications and others.

Current machine learning approaches, including AutoML solutions, have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. For instance, in the case of predictions, they severely overfit and do not adapt when the environment changes. causaLens’ Causal AI Platform goes beyond predictions, providing transparent causal insights and suggesting actions that directly improve business KPIs.

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 is committed to promoting a diverse and inclusive environment that promotes equality of opportunity for everyone – a place where we are united in the commitment to scientific and operational excellence, that helps us to find and express ourselves and thrive to success. Our vision is to create an environment where everyone feels like the place where a mixture of race, gender, sexual orientation, religion, ethnicity, national origin, disability, age and all the other unique characteristics are celebrated.

Our values and principles are to be: 

  • Kind and Inspirational
  • Trustworthy and Accountable  
  • Driven and Resilient


Now recruiting for multiple positions in Data Science, Python Eng, Front End Dev, Commercial roles and more


causaLens.optimize (employee_happiness, positive_impact_on_the_world, share_price)


Our vision is to optimize the global economy

Dr. Darko Matovski
CEO, causaLens

Perks & Benefits

A selection of what we have to offer

  • Innovative & dynamic environment
  • Deep-tech company experience
  • Turbo charged growth
  • Guidance and mentorship
  • Smartest teammates
  • Competitive salary
  • 32 days paid holiday allowance (incl bank holidays)
  • Equity / Share options
  • Pension scheme
  • Work from home days
  • Happy hours and team outings
  • Remote work possibilities
  • MacBook Pro workstations
  • Referral bonus program
  • Conference allowance
  • Library allowance
  • Cultural and sports allowance
  • Cycle to work scheme
  • Friendly tech purchases
  • Pizza Thursdays
  • Healthy snacks and drinks in the office
  • Casual dress code
  • causaLens swag

Videos

What we do and who we are from the words of our founders

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

Join us

Current openings

Talent Acquisition Lead - DeepTech ScaleUp
Human Resources
Marketing Director
Marketing
Director, People and Talent
Human Resources
Account Executive
Sales
Finance Director
Operations
Principal Investigator
Causality & Blue Sky Research
Account Manager - Financial Services
Sales
Business Problem Solver (Jared)
Growth
Director of Engineering
Product
Product Manager
Product
Machine Learning Engineer
Product
Research Scientist - Machine Learning
Causality & Blue Sky Research
Director of Causality and Blue Sky Research
Causality & Blue Sky Research
Software Engineer
Product
Research Scientist – Causality Expert
Causality & Blue Sky Research
Director of Applied Data Science - Financial Services
Applied Data Science
Data Scientist - Applied Science
Applied Data Science
Frontend Engineer
Product