Senior Data Scientist

Are you a pro at building and deploying ML models?

Are you tired of just tinkering with the latest tech without actually making a real impact on business problems?

Maybe you'd like to join our team of 50 like-minded ML scientists and engineers who work with zero red tape to create practical solutions that actually work.

We're looking for a Senior Data Scientist who has experience developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects., 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, have experience reviewing code for juniors colleagues, worked with Data Engineering, Machine Learning and non technical stakeholders. You'll be comfortable assessing and determining how to optimize processes., As our Senior Data Scientist you will have:

• At least 4 years experience in Statistics and Machine Learning
• Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc)
• At least 3 years Python programming experience
• Experience applying models to Big Data
• Familiar with the principles of Continuous Integration and Deployment (CI/CD)
• Familiar with cloud (We use GCP- but any cloud is fine)
• Ability to translate technical stuff to non technical colleagues

There's a generous base salary of up to £110k on offer alongside a generous package which includes, up to 15% bonus, up to 10% matched pension contribution, extensive healthcare and wellness program and flexible working. This position will have flexible/Hybrid working but you will be required to attend one of our many offices spread throughout the UK 8 times a month

We're one of the UK's largest media companies and we're looking for a Senior Data Scientist to join our Data Science team who are working on modelling business problems including, our next generation of intelligent pricing, marketing, customer engagement tools. Building predictive and personalization models and deploying products at scale.