We are growing our central team responsible for creating data-driven products and services, with a focus on scalability, robustness, and security, your role will be a critical part of the analytics environment
You will work closely alongside data scientists, data engineers, and machine learning engineers across the business, collaborating to produce state-of-the-art solutions in data processing and services
The data you work with allows for insights in to customers behaviour and profile, as well as the efficiency of marketing campaigns, and allowing for more personalised and targeted material across the group
The team are responsible for maintaining and developing machine learning models that are empowering many use-cases such as: producing insights about our customers, segments for the online advertising on our sites and personalisation of news. Currently, our pipelines process over 900 million events per day.
You will also have the opportunity to share knowledge and learn from other data scientists and engineers across the organisation.
We encourage a diverse, collaborative and creative work environment, where you will develop and push for state-of-the-art solutions in big data processing as well as building reliable and highly scalable services.
Your day-to-day could include:
Working together with machine learning engineers and data scientists on deployment and monitoring of our machine learning models
Building, maintaining, designing and optimising data processing pipelines
Ensuring best practice across the team with code reviews and testing, as well as solid data governance
Working closely with product managers to produce solutions meeting customers needs, as well as assisting internal teams to allow for more data-driven products and services
If you have an interest in machine learning and data science, you will have the chance to work with the team on monitoring and deploying ML models
We are looking for you to bring:
University education in computer science or similar
Experience with one or more of the following languages: Python, Scala, Java
Knowledge of DevOps/ CI/CD solutions is beneficial
Experience with public or private Cloud and container technology
For more information or any questions, contact Lucy on email@example.com