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- Tasks: Transform complex datasets into predictive insights and deployable models for government decision-making.
- 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 opportunities.
- Why this job: Make a real impact using advanced analytics and machine learning in a secure environment.
- Qualifications: Active SC clearance, strong Python skills, and experience in machine learning required.
Rate: Up to £650 per day (Inside IR35)
Location: London or Manchester (1-2 days per week on-site)
Contract: 6 months
Clearance: Active SC 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
Responsibilities
- 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
Working Pattern
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 Adjustments: Respect 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 in Slough 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 in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who have experience with government projects. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine-learning models and Python projects. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex models to non-technical stakeholders, so practice breaking down your work into simple terms that anyone can understand.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented SC-cleared Data Scientists, and applying directly can give you an edge. Plus, it’s super easy to keep track of your application status!
We think you need these skills to ace SC Cleared Data Scientist - Contract in Slough
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 align with the job description!
Showcase Your Projects: Include specific projects where you've turned complex datasets into predictive insights. We love seeing real-world examples of your work, especially if they relate to government or regulated environments.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the role. We appreciate clarity, especially when communicating complex ideas!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we’re excited to hear from you directly!
How to prepare for a job interview at Sanderson Government and Defence
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the machine-learning techniques mentioned in the job description. Brush up on your knowledge of supervised and unsupervised learning, as well as MLOps practices. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can apply them effectively.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully designed and deployed machine-learning models. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had. This will help demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly with Non-Techies
Since you'll be working with policy teams and stakeholders who may not have a technical background, practice explaining complex concepts in simple terms. Prepare to share how your analytical findings can inform decision-making, ensuring you can bridge the gap between data science and real-world applications.
✨Understand Security and Compliance
Given the nature of the role, it's crucial to be aware of security, governance, and ethical standards in data science. Familiarise yourself with the implications of working in a central government environment and be prepared to discuss how you ensure compliance in your work.