Applied Data Scientist
1 week ago
causaLens is a pioneering company in the field of Causal AI, a revolutionary technology that enables machines to understand cause and effect. Our mission is to build truly intelligent machines that can make a real impact on business decisions.
Job DescriptionWe are seeking a highly skilled Data Scientist to join our team in London. As a Data Scientist at causaLens, you will play a pivotal role in advancing our Causal AI technology.
Key Responsibilities- Develop causal-AI-driven models and decision applications using our technology to solve high-impact challenges in industries such as retail, marketing, supply chain, manufacturing, and finance.
- Collaborate with clients and causaLens stakeholders to successfully implement causal models and insights into customers' strategies.
- Use our causal AI framework to build causal models and decision applications, leveraging our proprietary causal discovery, modeling, and decision intelligence architectures on client-supplied data sets and use cases.
- 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).
- 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.
- A hybrid working setup.
- A competitive salary.
- 25 days of paid holiday, plus bank holidays.
- A pension scheme.
- A referral bonus program.
- A cycle to work scheme.
- Office snacks and drinks.
Our interview process consists of a few screening interviews and a 'Day 0' which is spent with the team.
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