Data Scientists
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| Company Name | HM Land Registry |
| Company Type | Government |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | London, England, United Kingdom |
| Qualifications | Bachelor’s Degree |
| Experience | No Experience / Fresh |
Job Overview
HM Land Registry is seeking enthusiastic Data Scientists for an entry-level position located in London, England. In this role, you will contribute to the department’s vital mission of safeguarding land and property ownership across England and Wales by applying data analysis and innovative solutions.
Company Overview
HM Land Registry is a UK government department, established in 1862, dedicated to registering the ownership of land and property throughout England and Wales. The organization safeguards land and property ownership valued at over £8 trillion, including significant mortgage portfolios. With more than 26 million titles, HM Land Registry provides crucial data and services that underpin an efficient and informed property market, driven by values of integrity, innovation, professionalism, and assurance.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: Bachelor’s Degree
- Experience: No Experience / Fresh
Key Responsibilities
- Collect, clean, and process diverse datasets to uncover valuable insights and trends.
- Develop and implement statistical models and machine learning algorithms for various applications.
- Collaborate effectively with engineering and business stakeholders to integrate data-driven solutions.
- Visualize complex data and present findings clearly and concisely to non-technical audiences.
- Contribute to the continuous improvement of data processes, tools, and methodologies.
- Ensure the highest standards of data quality and integrity in all analytical tasks and projects.
Requirements
- A Bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline.
- Proficiency in programming languages like Python or R, with experience in relevant libraries (e.g., Pandas, NumPy).
- Foundational understanding of statistical concepts, data modeling, and machine learning principles.
- Excellent problem-solving abilities and a keen analytical mindset.
- Strong communication and interpersonal skills to collaborate within a team environment.
- Ability to learn new technologies and adapt to evolving data challenges.
Benefits
- Opportunities for continuous professional development and career progression within a prominent government department.
- A competitive salary package complemented by a comprehensive public sector pension scheme.
- Generous annual leave allowance and flexible working arrangements to promote work-life balance.
- The chance to contribute to impactful public service projects safeguarding UK land and property.
- Access to a supportive, collaborative, and inclusive work environment.
- Structured training and mentorship programs designed for entry-level professionals to foster growth.
