About us

What we stand for

vision = global_economy.predict().optimize()

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 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


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

Principal Investigator
Causality & Blue Sky Research
Director of Account Management - Causal AI
Director of Strategic Sales
Director of Sales - Financial Services
Business Problem Solver (Jared)
Director of Engineering
Product Manager
Machine Learning Engineer
Research Scientist - Machine Learning
Causality & Blue Sky Research
Director of Causality and Blue Sky Research
Causality & Blue Sky Research
Software Engineer
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
Quantitative Researcher
Applied Data Science
Scientific Researcher & Writer
Data Scientist - Innovative Applications of Causal AI
Frontend Engineer