BETA This is a new website - your feedback is welcomed to help us improve it.
Welcome to Public Health Wales, the national public health organisation for Wales
Our vision is Working to achieve a healthier future for Wales
Applicants are invited to apply in Welsh, any application submitted in Welsh will not be treated less favourably than an application made in English. To support our all Wales service, we particularly welcome applications from Welsh speakers.
Important Note for vacancies offered on a fixed-term or secondment basis.
Individuals who hold permanent (substantive) employment within the NHS may only be appointed via secondment. Approval for a secondment must be obtained from your current line manager prior to submitting an application.
Job overview
Are you passionate about using data science to improve population health and reduce health inequalities?
Main duties of the job
You will work on a wide range of projects, including statistical and simulation modelling, machine learning, predictive analytics and data engineering. The role offers the opportunity to work with modern cloud-based technologies, collaborate with multidisciplinary teams, and help shape the future of data science within Public Health Wales. We are looking for someone with strong R and/or Python skills, experience in delivering data science projects, and the ability to communicate complex findings to both technical and non-technical audiences. Experience with cloud platforms, version control and collaborative development practices would be advantageous
In return, we offer flexible working, opportunities for professional development, and the chance to make a real impact on public health outcomes for the people of Wales.
Working for our organisation
We are Public Health Wales – the national public health agency in Wales. Our purpose is ‘Working together for a healthier Wales’. We exist to help everyone in Wales live longer, healthier, happier lives. Together with our partners, we work to increase healthy life expectancy, improve health and well-being, and reduce inequalities for everyone in Wales, now and for future generations.
Our teams work to prevent disease, protect health, and provide leadership, specialist services and public health expertise. We are the leading source of public health information, research and innovation in Wales. In a world facing complex health challenges, our work has never been so important.
We are guided by our Values, ‘Working together, with trust and respect, to make a difference’. We are committed to building an inclusive workplace that values equality and diversity. We welcome applications which represent the rich diversity of the communities we serve and are supportive of flexible working arrangements, including part time roles and job sharing.
Detailed job description and main responsibilities
The ability to speak Welsh is desirable for this post; Welsh and/or English speakers are equally welcome to apply.
Person specification
Qualifications and Knowledge
- A Master’s degree, or equivalent experience, that includes components related to data science, computer science, or software engineering. This might include, but is not limited to, the following subjects: mathematics, statistics, computer science, data science, geo-spatial science, physics, economics, econometrics, chemistry, biology, and ecology.
- Data security, platform security, confidentiality and ethical use of data and models (e.g. bias, transparency), including the Data Protection Act 2018, the Caldicott principles and statistical disclosure control.
- Public health challenges
- Code of Practice for Official Statistics or an equivalent quality framework
Experience
- Delivering timely, innovative data science projects end to end, from scoping to handover, working with stakeholders from the start to gather requirements and understand and meet user needs
- Working in multidisciplinary teams using Agile methods, and across organisational and professional boundaries
- Coaching, mentoring or training others in data science
- Line management and staff development
- Leading Agile delivery (e.g. running sprints, managing a backlog)
Skills
- Advanced R and/or Python, following good practice in coding, documentation, automation and reproducible analytical pipelines
- Proficient in Git and GitHub (or similar) for version control, collaborative development and code review
- Specialist knowledge and application of statistical and data science methods, such as projections, statistical and simulation modelling, machine learning (supervised and unsupervised, NLP), econometrics, regression and causal inference, including model validation and communicating uncertainty
- Data management and engineering skills, such as working with complex, high-volume, structured and unstructured data; SQL/NoSQL databases; data linkage; and APIs
- Working knowledge of cloud platforms, ideally Google Cloud (e.g. BigQuery, Cloud Storage), including building and documenting data pipelines.
- Communicating complex work clearly to technical and non-technical audiences through presentations, writing and data visualisation
- Using GitHub Projects boards to manage work and GitHub Pages to publish documentation
Personal Attributes
- Enthusiastic, can-do attitude with a commitment to learning and developing own skills
- Strong planning and organisation; manages multiple projects and competing priorities to deadlines, including under pressure
- Works on own initiative and as a team player, building good relationships at all levels through negotiation and diplomacy
- Flexible in applying skills to clinical and scientific priorities
- Willing to travel
- Ability to work in challenging or difficult circumstances Ability to speak Welsh
Other
- Ability to foster and maintain good working relationships with colleagues at all levels Commitment to developing own technical data science and core skills
- Prepared to travel
Public Health Wales, reserves the right to close this vacancy early. We therefore encourage early applications.
Priority is given to staff awaiting redeployment. We therefore reserve the right to withdraw this advert at any stage.
If you have a disability and have any particular requirements to enable you to participate in the application process, please contact [email protected]
IMPORTANT NOTE FOR APPLICANTS: Applications for our roles are carefully reviewed and shortlisted based on specific criteria, which varies from job to job.
Using a generic application or automated AI application services, such as Lazy Apply or AI Apply, does not usually provide enough personal evidence of your skills and experience relevant to the role. This can make it difficult for us to assess your suitability and will reduce your chances of being shortlisted.
To ensure your application is given full consideration, we recommend submitting a tailored application that directly addresses the criteria listed in the Person Specification section of the advert, providing clear evidence and examples to demonstrate how you meet each requirement.
Visa Sponsorship Eligibility
- If you require sponsorship under the Skilled Worker or Health and Care Visa routes, please ensure youself‑assessyour eligibility for sponsorship for this role before applying.
If you are successful and short listed for interview you will be contacted by email using the address with which you registered. Please ensure you check your email account regularly.
We are committed to fair, transparent recruitment and believe in equality of opportunity in our workplace and will not tolerate discrimination on grounds of age, disability, gender identity, religion or belief, race or nationality, marriage or civil partnership status, sex, sexual orientation, working pattern, caring responsibilities, trade union activity or political beliefs – or on any other grounds. We welcome applications from individuals seeking flexible working arrangements.
The salary scale shown is for a full-time member of staff, with the amount being adjusted pro rata for those working less than 37.5 hours per week.
In general, anyone joining our Trust who has not previously worked in the NHS will, by default, start on the first point of the advertised pay band. Pay progression will then be determined by annual Performance and Development Reviews in accordance with the NHS Wales Pay Progression Policy . An application for Incremental Credit may be considered, but can only be awarded based on evidenced, reckonable service and/or equivalent, relevant experience.
Employer certification / accreditation badges
#J-18808-Ljbffr