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- Tasks: Join us as a Data Science Engineer, developing critical data solutions for national security.
- Company: Roke is a trusted supplier in the National Security domain with over 60 years of expertise.
- Benefits: Enjoy a modern workplace, sustainability-focused environment, and opportunities for growth.
- Why this job: Make a real impact on national safety while working with cutting-edge technology and innovative teams.
- Qualifications: Experience with Python, machine learning, and data analytics is essential; cloud knowledge is a bonus.
- Other info: Must be a British Citizen eligible for DV clearance; work primarily in London.
The predicted salary is between 36000 - 60000 £ per year.
Be part of a growing and highly trusted supplier into the National Security 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.
As a Data Science Engineer, you’ll be actively involved in the development of mission critical technical solutions that focus on data services for our National Security customers. 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.
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.
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 UK for the last 10 years.
The next step:
Click apply, submitting an up-to-date CV. We look forward to hearing from you.
Data Science Engineer employer: Roke
Contact Detail:
Roke Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Spark and Python. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your readiness for the role.
✨Tip Number 2
Network with professionals in the National Security sector or those who work at Roke. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Stay updated on current trends in data science and machine learning, especially as they relate to national security. Being able to discuss recent developments or case studies in your interview can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your understanding of DataOps and cloud-based solutions, even if you’re still learning. Showing a willingness to grow in these areas can highlight your commitment to the role and the company’s mission.
We think you need these skills to ace Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with scripting languages like Python. Emphasise any projects or roles where you've worked with machine learning models, data analytics, or large datasets.
Craft a Strong Cover Letter: Write a cover letter that connects your skills and experiences to the specific requirements of the Data Science Engineer role. Mention your familiarity with tools like Apache Spark and any cloud platforms you’ve worked with, as well as your understanding of Agile methodologies.
Showcase Relevant Projects: If you have worked on projects involving data cleansing, manipulation, or visualisation, be sure to include these in your application. Provide brief descriptions of your contributions and the technologies used, especially if they relate to national security or similar domains.
Highlight Security Clearance Eligibility: Since this role requires DV clearance, make it clear in your application that you are a British Citizen and have resided in the UK for the last 10 years. This will help streamline your application process.
How to prepare for a job interview at Roke
✨Showcase Your Technical Skills
Be prepared to discuss your experience with scripting languages like Python, as well as your knowledge of machine learning models and data analytics techniques. Bring examples of past projects where you've successfully applied these skills.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to cleanse, manipulate, and explore datasets. Think about how you would approach real-world problems in the National Security domain and be ready to articulate your thought process.
✨Familiarise Yourself with Relevant Technologies
Research and understand tools like Apache Spark, Docker, and Kubernetes, as well as cloud platforms such as AWS. Being able to discuss these technologies will show your commitment to staying current in the field.
✨Understand the Company’s Mission
Take time to learn about the company's role in national security and their innovative approaches to data analysis. Showing genuine interest in their mission can set you apart from other candidates and demonstrate your alignment with their values.
