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- Tasks: Join a team to create secure data solutions for a government project.
- Company: Work with a leading organisation focused on data security and innovation.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Make an impact in data governance while collaborating with diverse teams.
- Qualifications: Strong SQL skills and proficiency in Python or R required.
- Other info: Active SC clearance is essential for this role.
The predicted salary is between 48000 - 72000 £ per year.
We’re hiring a Senior Data Scientist to support a government department on a secure AWS-hosted data warehouse project. You’ll work closely with data engineers and analysts to deliver secure, high-quality data solutions, applying best practices in data anonymisation, governance, and matching. The role requires strong SQL and Python or R skills, with experience in AWS tools such as Redshift and Glue being advantageous. Due to the nature of the role, active SC clearance is required.
Key Responsibilities:
- Implement data anonymisation techniques to minimise disclosure risk
- Assist with development and maintenance of AWS-based data pipelines
- Perform complex SQL queries and support data integrity checks
- Develop data matching algorithms and apply governance principles
- Collaborate with technical and non-technical teams to define data requirements
- Support Agile project delivery and contribute to process design and documentation
Key Skills & Experience:
- Advanced SQL and proficiency in Python or R
- Experience with AWS Redshift, Glue, and data pipelines
- Strong understanding of data governance, anonymisation, and disclosure risk
- Previous experience in secure environments and use of GitLab
Please apply for further details.
Senior Data Scientist - SC Cleared employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - SC Cleared
✨Tip Number 1
Familiarise yourself with AWS tools like Redshift and Glue. Since the role involves working on an AWS-hosted data warehouse, having hands-on experience or even completing relevant online courses can give you a significant edge.
✨Tip Number 2
Brush up on your SQL skills, especially complex queries. Practising real-world scenarios or participating in coding challenges can help you demonstrate your proficiency during interviews.
✨Tip Number 3
Understand data governance and anonymisation techniques thoroughly. Being able to discuss these concepts confidently will show that you’re not just technically skilled but also aware of the ethical implications of data handling.
✨Tip Number 4
Network with professionals in the field, especially those who have experience in secure environments. Engaging in discussions on platforms like LinkedIn can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Data Scientist - SC Cleared
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python or R, and AWS tools like Redshift and Glue. Emphasise any previous work in secure environments and your understanding of data governance and anonymisation.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Senior Data Scientist role and how your skills align with the job requirements. Mention your active SC clearance and any relevant projects you've worked on that demonstrate your expertise.
Showcase Relevant Projects: If you have worked on specific projects involving data pipelines, data matching algorithms, or data integrity checks, include these in your application. Use quantifiable results to illustrate your impact and contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data-focused role.
How to prepare for a job interview at ZipRecruiter
✨Brush Up on Your SQL Skills
Since the role requires advanced SQL proficiency, make sure to review complex queries and data integrity checks. Be prepared to discuss your past experiences with SQL and how you've used it in previous projects.
✨Showcase Your Python or R Expertise
Highlight your experience with Python or R during the interview. Be ready to explain how you've applied these languages in data science projects, particularly in relation to data anonymisation and governance.
✨Familiarise Yourself with AWS Tools
As the position involves working with AWS Redshift and Glue, ensure you understand how these tools function. Discuss any relevant projects where you've utilised these technologies to demonstrate your hands-on experience.
✨Understand Data Governance Principles
Given the focus on data governance and disclosure risk, be prepared to talk about your understanding of these concepts. Share examples of how you've implemented data governance practices in your previous roles.
