Technology | Colindale
Role: Data Scientist
Start date: Immediate
Location: Colindale, London
Contract Type: Permanent
Salary: £60,000 to £68,000
Closing Date: 31/12/19
Utility Warehouse is seeking a Data Scientist who will play a key role in answering our most fundamental questions, and improving the way we work with our customers, partners and suppliers.
We're a supplier of home services (Energy, Telephony, Insurance & Broadband) with around 2% of the UK market, a unique business model and a huge potential to grow. As an established, 20-year-old British company our challenges are to rebuild whilst continuing to innovate and compete, in order to develop a platform to enable the future growth of the business.
At the beginning of 2016, we started a fundamental transformation here at Utility Warehouse - driven by our board; there’s a strong desire to become a modern, agile, UX and tech-led business.
Our data, product and technology teams are a mix of new joiners and company veterans - a lot of the usual practices and processes still need establishing so it's definitely a good time to join and influence how things shape up in the future.
What you will do:
As a Data Scientist, you will be working to improve our understanding of our customers, partners and suppliers using advanced analytics techniques. You will be one of the first in a multi-skilled team who will act as internal consultants working in areas such as Telecoms, Energy, Finance, Customer or Partner domain teams on different problems to meet agreed outcomes and objectives.
As we look to develop our Data Science function, we are currently looking for generalists who can find their way through all steps of the data science workflow, with deeper expertise in one or more parts of it. You will help us validate and challenge our assumptions using data. You will be working with multiple stakeholders at all levels in the organisation to source information to answer the most important questions. You will be using a variety of different tools, technologies and techniques, in some cases working alongside engineers to help us build-out a core suite of data products and services.
The successful candidate will be a data evangelist, preferably with a background in computer science, with good knowledge of statistical analysis, data processing and modelling of large datasets to derive new insights; presenting insights back to stakeholders, or developing prototypes of tools or learning models. This role will suit candidates from eclectic backgrounds as we are primarily seeking an analytical and inquisitive mind.
This role is an excellent opportunity for a candidate seeking the opportunity to drive themselves with their own enthusiasm for the subject matter.
Required skills and experience
- A background in statistics and computer science or related engineering subject
- Experience working with and manipulating both numerical, textual and time-series data
- Deployed and built machine learning pipelines
- Proficient with relational and non-relational data sources
- Familiar with experiment design e.g. set up experiments with test and control groups
- Fluency of Python and common machine learning packages e.g. scikit-learn, experience with deep learning frameworks a is also beneficial
Nice to have, but not essential...
- Use of cloud analytics tools e.g. Looker
- Use of cloud infrastructure providers e.g. AWS, GCP
- Use and knowledge of version control technologies e.g. git
- Knowledge of data streaming architectures and microservices, e.g Kafka, NATS