Data Science Engineer

Roke; Woking; On-site; GBP 45,000 - 60,000; Full time

Job summary

A trusted supplier in the National Security domain seeks a Data Science Engineer to develop mission-critical data solutions. The ideal candidate will have experience in Python for data manipulation and knowledge of machine learning models. You will work at the Woking site, near London, with opportunities for growth in a modern, sustainable work environment.

Qualifications

• Experience with Python for data exploration and manipulation.
• Knowledge of machine learning models and statistical techniques.
• Understanding of data analytics and visualization techniques.
• Able to process large datasets with Apache Spark.
• Exposure to data acquisition techniques.

Responsibilities

• Develop mission critical technical solutions for National Security customers.
• Work on datasets of varying sizes for data cleansing and exploration.

Skills

Python

Machine learning models

Data analytics

Apache Spark

Data visualisation techniques

Tools

AWS

Docker

Kubernetes

Job description

Data Science Engineer

National Security Business

Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous.

Work on leading edge technology solutions in the following disciplines: AI & Data Science, Cyber, Cloud, Big Data, Software Development, DevOps, SRE, Platform Engineering.

Role

As a Data Science Engineer, you’ll be actively involved in development of mission critical technical solutions that focus on data services for our National Security customers.

As our next Data Science Engineer, you’ll be working with datasets of varying sizes to cleanse, manipulate, fuse and explore; allowing our customers to make faster, more accurate decisions and keep the nation safe.

The key requirements

• Experience with scripting languages like Python for data exploration, cleansing and manipulation.
• A knowledge of machine learning models and statistical techniques, including validation.
• An understanding of data analytics and data visualisation techniques.
• Able to process large datasets via batch or stream processing using Apache Spark or similar.
• Exposure to techniques used for acquiring and fusing data.

The below skills and experience would also be a bonus :

• Cloud platforms (preferably AWS) or implementing cloud-based data science solutions.
• Knowledge of, or willingness to learn DataOps.
• Structured or unstructured database experience.
• Container experience, including Docker and Kubernetes.
• Agile ways of working.
• Software best practices including version control and CI / CD pipelines for automated testing and deployment.
• Familiarity with linux.

Built on over a 60-year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act – through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe – that’s our mission, passion, and motivation.

We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey.

Where you’ll work

You’ll find our Woking site in a modern building on the outskirts of London. Rated excellent for sustainability by BREEAM & Fitwel certified – you’ll feel better for visiting. This site provides key links to our customers in London, is a 5-minute walk from the train station, has secure parking nearby and dedicated cycle storage.

There is an expectation that a significant proportion of your time will be spent working on customer sites in the London area.

Clearances

Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the for the last 10 years.

The next step

Click apply, submitting an up-to-date CV. We look forward to hearing from you.