30,754 - 34,997
A non-negotiable starting salary of 30,754 will be offered to the successful candidate.
A Civil Service Pension with an employer contribution of 28.97%
GBP
Job grade
Executive Officer
Contract type
Permanent
Business area
Corporate Services and Inspectorates
Type of role
Digital
Working pattern
Full-time
Number of jobs available
2
Contents
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Location
About the job
Benefits
Things you need to know
Apply and further information
Location
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Wales
About the job
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Job summary
Welsh Government
The Welsh Government delivers digital services to people and business across Wales. Led by our Chief Digital Officer, the Welsh Government is increasingly delivering more services online and has a vision (outlined in the Digital Strategy for Wales) of improving the lives of everyone through collaboration, innovation and better public services.
To achieve this vision, the Welsh Government needs specialist digital, data and technology skills across all departments in the organisation to improve the services and policies we develop for Welsh citizens.
For more information about the benefits of making a difference with us, please see the Employee Benefits Pack.
Job description
Data Science Unit
Welsh Government's Data Science Unit are recruiting for new data scientists to get involved with our ambitious and varied programme of works, centred around using data in novel and creative ways to benefit Welsh Government and the wider public sector in Wales.
We offer a unique opportunity to work across the breadth of Government business areas alongside different teams to understand challenges and deliver solutions. The Data Science Unit are expanding to match the recent surge in interest for Artificial Intelligence and enable us to support Welsh Government and the Welsh public sector in developing and adopting effective, safe and ethical solutions.
Associate Data Scientist (EO)
This post is mapped to the https://ddat-capability-framework.service.gov.uk/role/data-scientist#associate-data-scientist
An associate data scientist's main duty is to support the delivery of project work to make a real difference to our stakeholders. You will join small multi-disciplinary project teams to meet with stakeholders, understand their challenges and use your knowledge and skills to deliver data science solutions.
As an associate data scientist you will also help to build data science capability within and outside the organisation. You will seize the opportunity to promote data science and our projects in various engagements as well as offering technical support to other teams within Welsh Government who undertake analytical activities.
As an associate data scientist you will remain committed to your personal development, keeping up to date with recent advancements in the wider technical community and identifying opportunities to test and implement algorithms and techniques.
We are looking for people who are:
Passionate about the application of data science and prioritise delivering work that makes a real impact for customers
Good collaborators, capable of engaging with project processes and project management to deliver high quality outputs in a timely manner.
Keen to promote project work and can communicate technical information to a range of different stakeholders, both technical and non-technical
Supportive to others
Aware of data privacy/data ethics risks and are confident in working responsibly with data.
Person specification
At this role level, you will:
understand the basics of software development and analytical methods, and be able to develop basic models
understand and be able to implement a range of data science techniques, including machine learning
collaborate with others to develop data science solutions and outputs supporting the organisation
prepare and manipulate data, and perform analytics
present and communicate effectively
be aware of project delivery methods
be aware of ethical considerations
have knowledge of the technologies used
Your main day to day responsibilities will include:
Working as a part of a project team to deliver data science projects, typically through the use of Python, SQL and Azure cloud technologies using Agile principles.
Learning and contributing to data science work across the breadth of the discipline, including supervised and unsupervised machine learning, automation, natural language processing, computer vision and artificial intelligence/generative artificial intelligence.
Understand and work in line with the team's project processes.
Awareness of Data Privacy and Data Ethics legislation and frameworks and the ability to apply to your work.
Support the project by delivering tasks in line with stakeholder requirements, working independently to contribute tasks, seeking advice from other data scientist when required.
Contribute to the building of data science capability across Welsh Government and DDaT.
Behaviours
We'll assess you against these behaviours during the selection process:
Delivering at Pace
Working Together
Technical skills
We'll assess you against these technical skills during the selection process:
Data Science Innovation - seek out and research new data science techniques to support learning.
Data Ethics and Privacy - apply fundamental principles of data ethics and privacy in your work under supervision.
Benefits
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Alongside your salary of 30,754, Welsh Government contributes 8,909 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.Learning and development tailored to your role
An environment with flexible working options
A culture encouraging inclusion and diversity
A Civil Service pension with an employer contribution of 28.97%
Things you need to know
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Selection process details
This vacancy is using Success Profiles , and will assess your Behaviours, Experience and Technical skills.
The Use of Artificial Intelligence (AI)
Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our AI candidate guidance for more information on appropriate and inappropriate use.
Selection Process and Stages
Welsh Government, like all other Government Departments use Success Profiles when we recruit. For each role we consider what you will need to demonstrate to be successful. This gives us the best possible chance of finding the right person for the job. It raises performance and improves diversity and inclusivity.
The selection process and stages are:
Number of Stages:
2 stage process
Stage 1 Application Form
Stage 2 Interview
A reserve list may be held for this opportunity. Any candidate who is successful in being offered a reserve status, will remain on the reserve list for 12 months.
In the event of a large number of applications, an initial sift will be conducted against the lead assessment criterion:
Experience 1: Data Science, tools and programming - ability to deliver data science work through high quality code and using appropriate tools.
Candidates who pass the initial sift may be progressed to a full sift or progressed straight to assessment/interview
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check.
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check .
See our vetting charter .
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
This job is broadly open to the following groups:
UK nationals
nationals of the Republic of Ireland
nationals of Commonwealth countries who have the right to work in the UK
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Further information on nationality requirements
Working for the Civil Service
The Civil Service Code sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles .
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .
Apply and further information
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Contact point for applicants
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Job contact :
Name : Data Science Unit
Email : datascienceunit@gov.wales
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Recruitment team
Email : SharedServiceHelpdesk@gov.wales
Further information
Recruitment principles and complaints
We recruit by merit on the basis of fair and open competition. Please see the Civil Service Commission's recruitment principles on the Commission's website.
If you feel your application has not been treated in accordance with these principles and wish to make a complaint please email complaints@gov.wales. Please ensure that you refer to the vacancy reference number.
If you are not satisfied with the response you receive from the Welsh Government, you can contact the Civil Service Commission: info@csc.gov.uk
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