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For Companies At a Glance
- Tasks: Design and deploy data science solutions in a secure environment.
- Company: Join a trusted delivery partner on a high-priority programme in Cambridge.
- Benefits: Competitive daily rate, long-term contract, and potential for extensions.
- Why this job: Work on mission-critical data challenges and make a real impact.
- Qualifications: Active DV clearance and strong programming experience in Python required.
- Other info: Collaborative team environment with opportunities to work on cutting-edge technology.
The predicted salary is between 39600 - 66000 ÂŁ per year.
We are supporting a trusted delivery partner on a high-priority programme based in Cambridge and are looking for an experienced, DV-cleared Data Scientist to join the team on a long-term contract. This is an urgent requirement, working on-site 5 days per week within a highly secure environment.
The Role
You’ll be working on mission‑critical data and analytics challenges, applying advanced data science and machine learning techniques to support operational outcomes. The role blends hands‑on data science with strong engineering and MLOps practices, contributing to scalable, production‑grade solutions.
Key Responsibilities
- Design, build and deploy data science and machine learning solutions in secure environments
- Develop and maintain production‑ready ML pipelines using modern MLOps practices
- Collaborate with engineering and delivery teams to integrate models into wider systems
- Support automation, deployment and operationalisation of data products
- Contribute to the design of scalable, cloud‑native data architectures
Essential
- Active DV clearance
- Strong programming experience in Python
- Hands‑on experience with ML Engineering / MLOps tooling (e.g. MLflow, Airflow, Docker, Kubernetes)
- Solid understanding of CI/CD pipelines and DevOps practices (e.g. GitLab, Jenkins)
- Strong knowledge of data engineering concepts, including ETL, data warehousing and data streaming
- Experience designing and working with scalable, cloud‑native data pipelines and systems
Desirable
- Experience working within defence, intelligence or other highly regulated environments
- Exposure to large‑scale or real‑time data platforms
The Details
- Contract: Inside IR35
- Rate: ÂŁ550 per day inclusive
- Location: Cambridge - 5 days per week on site
- Duration: 12 months initially, with potential extensions up to 3 years
If you hold active DV clearance and are available for an urgent start, apply now to discuss this opportunity in confidence.
DV Cleared Data Scientist in Cambridge employer: SR2 REC LTD
Contact Detail:
SR2 REC LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DV Cleared Data Scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who have experience in secure environments. They might know about opportunities that aren't advertised yet.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and MLOps practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 3
Showcase your projects! If you've worked on any data science or ML projects, make sure to have them ready to discuss. We love seeing practical examples of your work, especially if they relate to scalable solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace DV Cleared Data Scientist in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DV Cleared Data Scientist role. Highlight your experience with Python, MLOps, and any relevant projects that showcase your skills in data science and machine learning.
Showcase Your Clearance: Since active DV clearance is essential, make it prominent in your application. We want to see that you meet this requirement right from the start, so don’t bury it in the details!
Be Specific About Your Skills: When listing your skills, be specific about your experience with tools like MLflow, Docker, and Kubernetes. We’re looking for hands-on experience, so give us examples of how you've used these in past projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at SR2 REC LTD
✨Know Your Stuff
Make sure you brush up on your Python programming skills and MLOps tools like MLflow and Docker. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.
✨Understand the Environment
Since this role is in a highly secure environment, it’s crucial to demonstrate your understanding of working within regulated settings. Familiarise yourself with the challenges and best practices in defence or intelligence sectors to impress your interviewers.
✨Showcase Collaboration Skills
This position requires collaboration with engineering and delivery teams. Prepare examples of how you've successfully worked in cross-functional teams, particularly in integrating models into wider systems. Highlight your communication skills!
✨Prepare for Technical Questions
Expect technical questions about CI/CD pipelines and data engineering concepts. Brush up on your knowledge of ETL processes and cloud-native architectures, and be ready to explain how you've implemented these in past roles.
