At a Glance
- Tasks: Lead statistical projects and apply advanced data science techniques for impactful analysis.
- Company: Join the Office for National Statistics, a key player in data-driven decision making.
- Benefits: Enjoy competitive salary, professional development, and opportunities for career advancement.
- Other info: Dynamic team environment with potential for leadership roles and engaging stakeholder interactions.
- Why this job: Make a difference by shaping policies through innovative data analysis and collaboration.
- Qualifications: Degree in a numerate subject or relevant experience in data science/statistics required.
The predicted salary is between 54000 - 66000 £ per year.
Organisation: The Office for National Statistics
Location: Titchfield, UK
Application Deadline: 15 days remaining
Be responsible for multiple aspects of statistical production/research or data science analytical projects.
Ensure analytical reproducibility, transparency and collaboration across the team.
Support the team in areas such as transformation and technical projects, taking the lead on delegated projects when required.
Apply advanced statistical and data science techniques to develop policy relevant analysis and/or improvements to current analytical methods.
Ability to respond to problems in datasets, data processes, data products and services as they occur.
Lead the development of technical and research papers and publications on the ONS website and for submission to peer reviewed journals.
Engage with stakeholders in ONS, other government departments, charities and academia to understand requirements, present results, advise on best-practice methodologies, and promote the work of the team.
Contribute to the development of funding bids to support new projects.
Potential for line management and/or matrix management of one or more analysts.
Person specification:
- Experience of using a range of data science and statistical techniques including knowledge of the assumptions, strengths, and limitations.
- Strong programming skills (ideally in R and/or Python) for the preparation and analysis of large datasets with experience implementing best practice, including version control and knowledge of RAP principles.
- Experience of managing the delivery of complex projects, prioritising tasks in line with organisational objectives.
- Good communication and interpersonal skills, with the ability to communicate complex analysis to both specialists and non-specialists, and contribute effectively to discussions with senior officials and external stakeholders.
- Ability to develop others and share knowledge.
Qualifications:
There are two eligibility routes for applicants:
- Qualifications Route: To apply you should have a first- or second-class honours degree (2:2 minimum) in a numerate subject containing taught statistical content (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography).
- OR a higher degree, for example MSc or PhD, in a subject containing formal statistical training (e.g. Statistics, Data Science, Mathematics, Economics, Sciences, Psychology, Geography).
- Experience route: Alternatively, you could apply if you have worked in a statistical or data science field and are able to demonstrate Continuous Professional Development (via a logbook) covering a minimum of three years. You will need to evidence how you applied statistics or data science at the same level as a foundation degree or HND (level five) and demonstrate the expected skills as outlined in the GSG Competency framework.
Behaviours:
- Working Together
- Changing and Improving
- Delivering at Pace
Technical skills:
- Programming and Computing
- Data Analysis
- Acquiring Data and Understanding Customer Needs
- Presenting and Disseminating Data Effectively
Senior Statistical Data Scientist employer: The Office for National Statistics
The Office for National Statistics is an attractive employer due to its commitment to professional development and collaborative work culture. Employees have the opportunity to engage with various stakeholders and contribute to significant analytical projects that inform public policy. The focus on transparency and reproducibility in statistical analysis further enhances the work environment.
Contact Details:
The Office for National Statistics Recruitment Team
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We think you need these skills to ace Senior Statistical Data Scientist
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