Lead Data Scientist
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Job Description
Experience required
- Educated to degree level in a relevant, numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics etc.
- Strong statistical background across a range of data science techniques, likely to be: segmentation, recommendation systems, NLP, timeseries, deep learning, neural networks, computer vision, causal inference, A/B testing, predictive modelling and regression.
- Ability to lead, own and drive projects, as well as guide and mentor more junior members of staff.
- Highly skilled Python programmer, with supportive skills in SQL.
- Exposure to Big Data, working in cloud-based environments and in an agile, innovative manner.
- Strong business facing skills; confident in owning and building relationships with key stakeholders, identifying opportunities for projects and scoping solutions.
- Ideally experience in productioninsing machine learning models and complex data science projects at scale.
- Customer focused; always thinking about customer impact in all decision making.
- Very strong communication skills, ability to translate and bring to life complex technical solutions for non-technical audiences and stakeholders, Continuing the drive to put data at the heart of all decision making and making it accessible for the business.
Employment Type
Full Time
Department / Functional Area
Marketing / Brand Management / Marketing Research / Digital Marketing
