- Job description
The quality of data at comparethemarket.com and the actionable
insights we drive from it makes a huge difference to the experience of our
customers and the success of the business.
We are looking for an experienced Data Scientist who has considerable
experience in automation and productionisation of data science products;
machine learning implementations, predictive models and real time
pattern/trigger based actioning. Big Data technologies, such as Apache Spark,
is a must, as is architecture knowledge in AWS environments. Awareness
about the current / future state of Data Science technologies and machine
learning techniques will be preferred.
As a Data Scientist you will help develop and support market leading
business intelligence solutions in an agile product team that gives comparethemarket.com a
competitive advantage in our wide range of products.
By mentoring other team members and championing big data technologies
and techniques you’ll contribute to the team’s evolving culture of experience,
innovation, enthusiasm and passion and also play a key role in designing the
architecture of the projects the team embarks on.
You will ensure development and delivery is of the highest quality. That
it’s on time and budget; that team standards are being evolved and increased.
You’ll manage and take responsibility for the continuous delivery
environment of projects and be responsible for technical problem solving.
What will it take?
As a highly skilled, professional and confident Data Scientist, you’ll
have excellent analytical and problem solving skills. You will have a strong
analytical and Data Manipulation (XML, JSON) background. You will be an Expert
at big data ETL using Spark. When we meet, you’ll be able to demonstrate your
- Understanding of Python or R
- Big Data schema design
- Using and defining automated tests to verify
that loads and transformations work as intended
- Confidence and experience working in agile teams
- Excellent communication skills
Opening date: 15.03.18
Closing date: 14.04.18