Causal AI Expert

1 week ago

Fulham, Greater London, United Kingdom causaLens Full time
{"title": "Causal AI Data Scientist", "subtitle": "Unlock the Power of Causal AI", "content": "

At causaLens, we're pushing the boundaries of artificial intelligence with our pioneering Causal AI technology. As a Data Scientist, you'll play a crucial role in advancing our platform, leveraging state-of-the-art algorithms and models to empower data scientists and decision-makers. Our platform is trusted by leading organizations across various industries, and we're looking for a talented individual to join our team in London.

As a Causal AI Data Scientist, you'll develop causal-AI-driven models and decision applications using our technology to solve high-impact challenges in industries like retail, marketing, supply chain, manufacturing, and finance. You'll collaborate with clients and causaLens stakeholders to craft long-term visions and plans, successfully implementing causal models and insights into customers' strategies.

We're seeking a strong academic record in a quantitative field, with at least 2 years of commercial data science experience in time series or tabular use-cases, preferably using Python. Previous experience in high growth technology companies or technical consultancy is a plus. If you're passionate about Causal AI and have a strong foundation in data science, we'd love to hear from you.

What We Offer
  • Competitive salary
  • 25 days of paid holiday, plus bank holidays
  • Pension scheme
  • Referral bonus program
  • Cycle to work scheme
  • Office snacks and drinks

We're committed to building an inclusive culture where diverse people and perspectives are welcomed. Our interview process consists of a few screening interviews and a "Day 0" spent with the team. If you're interested in joining our team and advancing the field of Causal AI, please apply.

", "requirements": "
  • Strong academic record in a quantitative field (MEng, MSci, EngD or PhD)
  • At least 2 years of commercial data science experience with time series or tabular use-cases, preferably using Python
  • Previous experience in high growth technology companies or technical consultancy is a plus
  • Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus
", "benefits": "
  • Access to mental health support through Spill
  • Competitive salary
  • 25 days of paid holiday, plus bank holidays
  • Pension scheme
  • Referral bonus program
  • Cycle to work scheme
  • Office snacks and drinks
", "company": "causaLens"}

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