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- Tasks: Design and build machine-learning models to solve real-world government challenges.
- Company: Join a dynamic team supporting high-profile central government programmes.
- Benefits: Earn up to £650 per day with flexible hybrid working options.
- Other info: Inclusive workplace valuing diversity and offering excellent career growth.
- Why this job: Make a real impact using advanced analytics and machine learning in a secure environment.
- Qualifications: Active SC clearance and strong Python skills required.
We're hiring an experienced SC-cleared Data Scientist to support a high-profile central government programme delivering advanced analytics and machine-learning solutions. This role is focused on turning complex datasets into predictive insight and deployable models that directly inform policy and operational decision-making.
You'll work within a multidisciplinary data team, partnering with data engineers, architects, and analysts to design, build, and productionise machine-learning models using modern Python and MLOps practices across secure cloud environments.
Key Requirements- Active Security Clearance (SC) - must be current and transferable
- Proven experience as a Data Scientist in central government or regulated environments
- Strong hands-on experience with Python for data science and machine learning
- Solid understanding of machine-learning techniques (supervised, unsupervised, model evaluation)
- Experience with MLOps practices, including:
- Model versioning and deployment
- CI/CD for ML workflows
- Monitoring and performance management
- Design, build, and evaluate machine-learning models to solve real-world government problems
- Use Python and related libraries to explore, transform, and model complex datasets
- Work with engineers to integrate models into production pipelines using MLOps best practices
- Validate, test, and monitor models to ensure accuracy, reliability, and fairness
- Collaborate closely with analysts and policy teams to translate analytical findings into insight
- Ensure solutions meet security, governance, and ethical standards
- Clearly communicate findings and recommendations to senior stakeholders
1-2 days per week on-site in London or Manchester. Remaining days remote, offering a flexible hybrid working model.
If you're an SC-cleared Data Scientist with strong Python, machine learning, and MLOps experience and are looking for a central government contract paying up to £650/day, we'd be keen to hear from you.
Reasonable AdjustmentsRespect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
SC Cleared Data Scientist - Contract employer: Sanderson Government and Defence
Contact Detail:
Sanderson Government and Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SC Cleared Data Scientist - Contract
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them you’re great at Python and machine learning—show it! Create a portfolio of projects or case studies that highlight your expertise. This will give you an edge when chatting with potential employers.
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data science. Be ready to discuss your past experiences and how they relate to the role. Confidence is key, so rehearse until you feel like a pro!
✨Apply Through Our Website
We want to hear from you directly! Applying through our website not only streamlines the process but also shows your enthusiasm for the role. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace SC Cleared Data Scientist - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the SC Cleared Data Scientist role. Highlight your experience with Python, machine learning, and MLOps practices. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your work in central government or regulated environments that demonstrate your expertise.
Showcase Your Security Clearance: Since active SC clearance is a must, make sure to mention it prominently in your application. We need to know you’re ready to hit the ground running without any delays!
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 from us!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Stuff
Make sure you brush up on your Python skills and machine-learning techniques. Be ready to discuss specific projects where you've used these skills, especially in a government or regulated environment. This will show that you can hit the ground running.
✨Understand MLOps Inside Out
Since this role involves deploying models using MLOps practices, be prepared to talk about your experience with model versioning, CI/CD for ML workflows, and monitoring. Have examples ready that demonstrate how you've successfully integrated models into production pipelines.
✨Communicate Clearly
You’ll need to explain complex models to non-technical stakeholders, so practice simplifying your explanations. Think of ways to convey your findings and recommendations clearly and concisely, as this is crucial for influencing policy and operational decisions.
✨Show Your Collaborative Spirit
This role requires working closely with data engineers, architects, and analysts. Be ready to share examples of how you've collaborated in multidisciplinary teams before. Highlight your ability to translate analytical findings into actionable insights for various stakeholders.