Senior Data Science Engineer

Networking People Limited
£55k - £70k pa + Bens
13 Nov 2017
16 Nov 2017
Contract Type
Full Time

Senior Data Science Engineer

Leading technology business is seeking and experienced Senior Data Science Engineer due to continued growth.

We architect and build the ground-breaking, game-changing technology solutions and enable its success in our market. An increasingly important part of this success is deriving value from the vast volumes of data generated by the business.

The data science group consists of 10 data scientists and 3 insight analysts across two teams It is responsible for designing cutting-edge machine learning and optimisation techniques to convert data into important business insights and efficient operations.

Due to expansion they are looking to expand the group to include two dedicated data science engineers to facilitate the development and handover of production ready prototypes of new systems. They will work on clients enterprise level data platform built around the latest Big Data and Cloud technologies.


You will be part of the Data Science team and will have responsibility for:

  • Working closely with the Data Scientists to identify processes that can be automated and building tools to test and deploy machine learning solutions in a production environment.
  • Prototyping solutions using the latest Big Data technologies.
  • Collaborating with other development teams to facilitate quickly transitioning from prototype to deployed product.
  • Championing processes to ensure best data practices are followed and that data is at the core of decision making at the clients business.

Experience required

  • Relevant commercial experience, ideally in an agile environment with exposure to methodologies like Scrum or Kanban.
  • Strong commercial development experience in SQL and at least 1 other programming language like Java, Python, Scala.
  • Experience of automated testing and continuous integration (Jenkins, GoCD).
  • Demonstrable experience of Big Data technologies, e.g. Hadoop, HBase, Spark at the enterprise level.
  • Experience in Cloud-based data solutions (GCP, AWS, Azure).
  • Hands on experience in deploying machine learning models (deployment pipelines / model retraining / ways of exposing model / monitoring).


  • Experience implementing data driven algorithmic systems in collaboration with data scientists.
  • Exposure to real time big data processing (Spark Streaming, Kafka, Amazon Kinesis).

This job was originally posted as