Data Science Consultant (Defence & National Security) in Southampton

Data Science Consultant (Defence & National Security) in Southampton

Southampton Full-Time 50000 - 70000 € / year (est.) No home office possible
Experis

At a Glance

  • Tasks: Develop data analytics applications and build scalable data pipelines using Python and AWS.
  • Company: A growing tech organisation focused on Defence & National Security.
  • Benefits: Competitive salary, career progression, and the chance to work on impactful projects.
  • Other info: Join a dynamic team and engage in high-impact, collaborative projects.
  • Why this job: Make a difference in National Security while advancing your data science skills.
  • Qualifications: Experience with Python, AWS, and strong communication skills required.

The predicted salary is between 50000 - 70000 € per year.

Our client, a growing tech organisation, urgently require a Data Science Consultant to join their Defence & National Security team. In order to be successful, you will have the following experience:

  • Experienced in the Python data stack (PySpark, numpy, pandas, scikit-learn, etc.)
  • Experienced within AWS-based infrastructure and services
  • Excellent communication skills, able to work with customers to shape requirements
  • Able and willing to obtain DV Clearance

Within this role, you will be responsible for:

  • Write high-quality Python code to develop data analytics and data science applications
  • Design, build, and maintain scalable, production-ready data engineering pipelines
  • Utilise AWS-based infrastructure and services to deploy and manage data workflows
  • Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems
  • Creative visualisation techniques to design impactful, intuitive data visuals and dashboards
  • Adhere to strict coding quality standards and collaborate effectively as part of an agile software development team
  • Engage with cross-functional, multi-disciplinary teams to meet user needs and facilitate collaborative project discussions

This represents an excellent opportunity to work on high-impact projects critical to National Security, with a company offering a clearly defined path for progression.

Data Science Consultant (Defence & National Security) in Southampton employer: Experis

Join a dynamic tech organisation that prioritises innovation and collaboration within the Defence & National Security sector. With a strong commitment to employee development, you will benefit from a clearly defined career progression path, a supportive work culture, and the opportunity to work on high-impact projects that contribute to national security. Our inclusive environment fosters creativity and teamwork, making it an ideal place for professionals eager to make a meaningful impact.

Experis

Contact Detail:

Experis Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Consultant (Defence & National Security) in Southampton

Tip Number 1

Network like a pro! Reach out to people in the Defence & National Security sector on LinkedIn. We can’t stress enough how important it is to connect with industry professionals who might know about job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those using PySpark, numpy, and pandas. We all love a good visualisation, so include some impactful dashboards that demonstrate your data storytelling abilities.

Tip Number 3

Prepare for interviews by brushing up on your AWS knowledge. We recommend going through common scenarios where AWS services are used in data workflows. Being able to discuss these confidently will set you apart from other candidates.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals ready to tackle complex problems in the tech space.

We think you need these skills to ace Data Science Consultant (Defence & National Security) in Southampton

Python
PySpark
numpy
pandas
scikit-learn
AWS
Data Engineering

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with the Python data stack and AWS services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Defence & National Security and how your background makes you a perfect fit for our team. Keep it engaging and personal!

Show Off Your Communication Skills:Since excellent communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you can effectively convey ideas.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at Experis

Know Your Python Inside Out

Make sure you're well-versed in the Python data stack, especially PySpark, numpy, pandas, and scikit-learn. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools effectively.

Familiarise Yourself with AWS

Since the role involves AWS-based infrastructure, take some time to understand the key services you'll be working with. Be prepared to talk about how you've deployed data workflows in the cloud and any challenges you faced.

Communicate Clearly and Confidently

Excellent communication skills are a must! Practice explaining complex technical concepts in simple terms, as you'll need to engage with customers and cross-functional teams. Think of examples where you've successfully shaped requirements through effective dialogue.

Showcase Your Creative Side

The role requires creative visualisation techniques, so come prepared with examples of impactful dashboards or data visuals you've designed. Discuss your thought process behind these designs and how they helped convey important insights.