Data Scientist – Advertising - London - £100k
We’re looking for a Data Scientist who has experience mining data and developing optimization models, ideally for marketing and advertising purposes.
Who are we?
We’re a small unit (team of 15, with 5 in the Data Science team) that’s part of one the world’s largest media organisations, with access to huge amounts of data (mainly numeric) and knowledge and expertise from colleagues across the wider organisation.
We don’t have any grand plans to grow massively, but we have a lot of interesting work that will give you the opportunity to make a visible impact on the business.
What should my background look like?
You’ll be someone that’s confident working in small and ad hoc teams as you will be working with third parties and other Data Scientists from our sister companies.
You’ll have worked with numeric data and be able to identify which data sets would return optimal results for your models.
You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, worked with Data Engineering, Machine Learning and non-technical stakeholders. You’ll be comfortable assessing and determining how to optimize processes.
What skills should I have?
As our Data Scientist you will have:
- At least 2 years’ experience in Statistics and Machine Learning
- Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc)
- At least 3 years Python programming experience
- Familiar with cloud (We use GCP- but any cloud is fine)
- Ability to translate technical stuff to non-technical colleagues
What’s on offer?
There’s a generous base salary of up to £100k on offer alongside a generous package. This position will have flexible/Hybrid working but you will be required to attend one of our offices in London on occasions.
How do I find out more?
If you feel this is the role for you or would like to find out more get in touch by clicking the ‘apply now’ button or get in touch with me by the following:
- Email me at email@example.com
- Call me on 01412250189