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Applied Data Scientist
2 months ago
We're a pioneering company in the field of Causal AI, dedicated to building intelligent machines that understand cause and effect. Our enterprise platform leverages state-of-the-art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on business outcomes.
The RoleWe're seeking a talented Data Scientist to join our team in London. As an Applied 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.
Key Responsibilities- Build causal models and decision applications using our causal AI framework
- Collaborate with business stakeholders to integrate domain knowledge into the modeling process
- Craft long-term visions and plans to successfully implement causal models and insights into customers' strategies
- Work closely with the product and research teams to shape the development of our platform
- At least 2 years of commercial data science experience with time series or tabular use-cases, preferably using Python
- Strong academic record in a quantitative field (MEng, MSci, EngD or PhD)
- Excellent communication and teamwork skills
- Previous experience in high growth technology companies or technical consultancy is a plus
- Competitive salary
- 25 days of paid holiday, plus bank holidays
- Share options
- Pension scheme
- Happy hours and team outings
- Referral bonus program
- Cycle to work scheme
- Friendly tech purchases
- Office snacks and drinks
Our interview process consists of a few screening interviews and a 'Day 0' which is spent with the team. We'll always be as transparent as possible, so please don't hesitate to reach out if you have any questions.