Modelling QA Lead

4 weeks ago

London, United Kingdom UK Health Security Agency Full time

Job title -Modelling QA Lead

Profession
- Digital Data & Technology

Directorate
- Analytics & Data Science

Full Time equivalent
- 37.5 hours

No of Roles
- 1

Contract Type
- Permanent

Location
- Home Working

UKHSA offices are located across the country, with large hubs in London and Leeds. There are many homeworkers within the organisation, but all staff will be required to attend the office on occasion. The balance between home and workplace working is to be agreed with the line manager, determined primarily by business needs and in line with departmental policy.

Working Pattern
- Full Time / Flexible Working

Grade & Salary -Grade 7. National banding - £49,592 - £58,769 per annum. Outer London -£51,494- £60,528 per annum. Inner London - £53,396 - £62,286 per annum.

New entrants to the Civil Service are expected to start on the minimum of the pay band.

For further details please refer to the Information Sheet
- Starting Salaries & Benefits attachment

**You will**:

- Work collaboratively with a range of experts to continuously develop the maturity of data science and modelling Quality Assurance processes and supporting artefacts across UKHSA
- Lead, develop, and coach on best practice processes, procedures and culture for the organisation on code, analysis and modelling
- Support capability building initiatives to ensure that relevant people are aware of modelling Quality Assurance best practices and can use them
- Work with other quality assurance and modelling stakeholders across the organisation and other government departments
- Support and develop the UKHSA’s Model Register and its related processes, guidance and governance.

We are looking for an experienced Data Scientist who will lead on improving the maturity of quality assurance (QA) of analytical modelling work within UKHSA. You will be joining the Analytics and Data Science Directorate in the Data Analytics and Surveillance (DAS) Group, which consists of a large community of data scientists, government analysts, mathematical modellers, epidemiologists, information specialists and data engineers.

The focus of this role Modelling QA Lead will be on QA of analytical models. You will also lead the ongoing development of the UKHSA’s Model Register and its supporting processes and guidance. You will work alongside the Data Science QA Lead in the team to develop and embed best practices with colleagues from a wide range of teams across UKHSA.

You’ll join a small friendly team, working to the Head of Data Science Quality Assurance in the Data Science and Geospatial division. You will work collaboratively with a wide variety of stakeholders to:
Lead, develop and coach on best practice processes, procedures and culture for the organisation on code, analysis and modelling:

- Champion a collaborative QA culture, where quality is everyone’s responsibility
- Communicate programming standards for R and Python and support data scientists and modellers in adhering to them
- Champion and communicate effective version control using Git
- Support the implementation of best practices for code & analysis relating to research and policy questions
- Advocate for best practices in data science and modelling QA including assumption logs, reproducibility and documentation
- Champion good statistical/mathematical/machine learning modelling practices in the organisation

Essential Criteria
- Experience of QA of analytical models within a QA framework
- An understanding of statistical/mathematical modelling
- An understanding of best practices for analytical projects including Reproducible Analytical Pipelines, modular code, use of Git-based version control systems, peer review and testing.
- Experience with Python and/or R for Data Science including the core scientific Python stack (pandas, NumPy, matplotlib etc) and/or R stack (ggplot2, tidyverse etc) for data science and visualisation
- Experience with Jira and Confluence or similar, including using them to work across multiple projects simultaneously
- Ability to effectively communicate the results of analysis to senior stakeholders and decision makers
- Experience of leadership of analytical projects

Desirable Criteria
- Experience with working under version control, including Continuous Integration/Continuous Development (CI/CD)
- Understanding of public health domain and/or experience with heath related data.
- Understanding of risk management around analytics
- Understanding of QA proportionality

**Qualifications**:

- A first
- or second-class honours degree in a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills;
- A higher degree, e.g., an MSc or PhD, in Data Science, Mathematics, Statistics, Physics (this is not a definitive list);
- Have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5)

UKHSA ethos

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