Data Scientist
Posted on Jul 25, 2024 by CV-Library
York Place, City of Edinburgh, United Kingdom
IT
Immediate Start
£150 - £150 Daily
Contract/Project
Data Scientist
Daily Rate: £150.00 (Inside IR35)
Contract: 6 Months
Hours: 37
Office Location: Edinburgh - Includes Hybrid Working
Parity Group is delighted to partner with our client, a public sector organisation, that is looking for an experienced SC Cleared multi-disciplined Data Scientist who will support the organisations aim to modernise the way in which economic statistics are developed; harnessing insight from a diverse range of data sources.
Key Responsibilities:
Write code and functions in a way that is reusable, fits best standards guidance, and are robustly unit tested. (Preferably in Python, PySpark or R)
Create reproducible pipelines for systematic processing of statistical data, based on initial design documents. This includes writing documentation, designing and conducting tests, reviewing and managing versions of code.
Work with subject matter experts to understand the statistics that need to be produced and the statistical methods that underpin them.
Conduct data analysis and visualization of the key datasets used to ensure high quality methods and statistical outputs.
Communicate key characteristics about data sources used within any project and how decisions taken on their use will have downstream impacts on data quality and suitability
Report on the progress of prototype systems to customers, clearly articulating the impact of various data processing steps on the outputs.
Maintain and review documentation for statistical and data processing functions, as well as data processing pipelines.
Manage working relationships with stakeholders across the organisation keeping people up to date on progress and highlighting any risks with projects.
Apply agile project management principles to managing projects and tasks on a day-to-day basis.
Please note successful candidates will be subject to a mandatory SC Security Clearance Screening.
Get in touch today with the leading consultant, Rochelle, for more information, or simply click on the apply button.
Parity - Better Decisions: Better People
Parity Group plc acts in the capacity of an Employment Agency when providing contract recruitment services.
We welcome applications from all sections of society and applicants will be considered on the basis of their suitability for the position
At Parity, we are committed to protecting your privacy, we will process and hold your CV and use the information you have provided lawfully and in accordance with our Terms and Conditions and our Privacy Policy which can be found at (url removed)
Daily Rate: £150.00 (Inside IR35)
Contract: 6 Months
Hours: 37
Office Location: Edinburgh - Includes Hybrid Working
Parity Group is delighted to partner with our client, a public sector organisation, that is looking for an experienced SC Cleared multi-disciplined Data Scientist who will support the organisations aim to modernise the way in which economic statistics are developed; harnessing insight from a diverse range of data sources.
Key Responsibilities:
Write code and functions in a way that is reusable, fits best standards guidance, and are robustly unit tested. (Preferably in Python, PySpark or R)
Create reproducible pipelines for systematic processing of statistical data, based on initial design documents. This includes writing documentation, designing and conducting tests, reviewing and managing versions of code.
Work with subject matter experts to understand the statistics that need to be produced and the statistical methods that underpin them.
Conduct data analysis and visualization of the key datasets used to ensure high quality methods and statistical outputs.
Communicate key characteristics about data sources used within any project and how decisions taken on their use will have downstream impacts on data quality and suitability
Report on the progress of prototype systems to customers, clearly articulating the impact of various data processing steps on the outputs.
Maintain and review documentation for statistical and data processing functions, as well as data processing pipelines.
Manage working relationships with stakeholders across the organisation keeping people up to date on progress and highlighting any risks with projects.
Apply agile project management principles to managing projects and tasks on a day-to-day basis.
Please note successful candidates will be subject to a mandatory SC Security Clearance Screening.
Get in touch today with the leading consultant, Rochelle, for more information, or simply click on the apply button.
Parity - Better Decisions: Better People
Parity Group plc acts in the capacity of an Employment Agency when providing contract recruitment services.
We welcome applications from all sections of society and applicants will be considered on the basis of their suitability for the position
At Parity, we are committed to protecting your privacy, we will process and hold your CV and use the information you have provided lawfully and in accordance with our Terms and Conditions and our Privacy Policy which can be found at (url removed)
Reference: 222061364
https://jobs.careeraddict.com/post/93144167
Data Scientist
Posted on Jul 25, 2024 by CV-Library
York Place, City of Edinburgh, United Kingdom
IT
Immediate Start
£150 - £150 Daily
Contract/Project
Data Scientist
Daily Rate: £150.00 (Inside IR35)
Contract: 6 Months
Hours: 37
Office Location: Edinburgh - Includes Hybrid Working
Parity Group is delighted to partner with our client, a public sector organisation, that is looking for an experienced SC Cleared multi-disciplined Data Scientist who will support the organisations aim to modernise the way in which economic statistics are developed; harnessing insight from a diverse range of data sources.
Key Responsibilities:
Write code and functions in a way that is reusable, fits best standards guidance, and are robustly unit tested. (Preferably in Python, PySpark or R)
Create reproducible pipelines for systematic processing of statistical data, based on initial design documents. This includes writing documentation, designing and conducting tests, reviewing and managing versions of code.
Work with subject matter experts to understand the statistics that need to be produced and the statistical methods that underpin them.
Conduct data analysis and visualization of the key datasets used to ensure high quality methods and statistical outputs.
Communicate key characteristics about data sources used within any project and how decisions taken on their use will have downstream impacts on data quality and suitability
Report on the progress of prototype systems to customers, clearly articulating the impact of various data processing steps on the outputs.
Maintain and review documentation for statistical and data processing functions, as well as data processing pipelines.
Manage working relationships with stakeholders across the organisation keeping people up to date on progress and highlighting any risks with projects.
Apply agile project management principles to managing projects and tasks on a day-to-day basis.
Please note successful candidates will be subject to a mandatory SC Security Clearance Screening.
Get in touch today with the leading consultant, Rochelle, for more information, or simply click on the apply button.
Parity - Better Decisions: Better People
Parity Group plc acts in the capacity of an Employment Agency when providing contract recruitment services.
We welcome applications from all sections of society and applicants will be considered on the basis of their suitability for the position
At Parity, we are committed to protecting your privacy, we will process and hold your CV and use the information you have provided lawfully and in accordance with our Terms and Conditions and our Privacy Policy which can be found at (url removed)
Daily Rate: £150.00 (Inside IR35)
Contract: 6 Months
Hours: 37
Office Location: Edinburgh - Includes Hybrid Working
Parity Group is delighted to partner with our client, a public sector organisation, that is looking for an experienced SC Cleared multi-disciplined Data Scientist who will support the organisations aim to modernise the way in which economic statistics are developed; harnessing insight from a diverse range of data sources.
Key Responsibilities:
Write code and functions in a way that is reusable, fits best standards guidance, and are robustly unit tested. (Preferably in Python, PySpark or R)
Create reproducible pipelines for systematic processing of statistical data, based on initial design documents. This includes writing documentation, designing and conducting tests, reviewing and managing versions of code.
Work with subject matter experts to understand the statistics that need to be produced and the statistical methods that underpin them.
Conduct data analysis and visualization of the key datasets used to ensure high quality methods and statistical outputs.
Communicate key characteristics about data sources used within any project and how decisions taken on their use will have downstream impacts on data quality and suitability
Report on the progress of prototype systems to customers, clearly articulating the impact of various data processing steps on the outputs.
Maintain and review documentation for statistical and data processing functions, as well as data processing pipelines.
Manage working relationships with stakeholders across the organisation keeping people up to date on progress and highlighting any risks with projects.
Apply agile project management principles to managing projects and tasks on a day-to-day basis.
Please note successful candidates will be subject to a mandatory SC Security Clearance Screening.
Get in touch today with the leading consultant, Rochelle, for more information, or simply click on the apply button.
Parity - Better Decisions: Better People
Parity Group plc acts in the capacity of an Employment Agency when providing contract recruitment services.
We welcome applications from all sections of society and applicants will be considered on the basis of their suitability for the position
At Parity, we are committed to protecting your privacy, we will process and hold your CV and use the information you have provided lawfully and in accordance with our Terms and Conditions and our Privacy Policy which can be found at (url removed)
Reference: 222061364
![CareerAddict](/assets/job-alerts-704d6c2677939a4f022b5e6bdb810ad68a0fb447f53071d9c5753bc54be234b4.png)
Alert me to jobs like this:
Amplify your job search:
Expert career advice
Increase interview chances with our downloads and specialist services.
Visit Blog