We are a dynamic, inclusive and nationally based grant-making Function working at the heart of government to provide strategic leadership and set standards. We work with government departments and their agencies to deliver grants more efficiently, effectively, transparently and safely protecting public money from fraud and maximising value for money.

Our work requires a diverse set of skills and expertise and we are committed to supporting individuals develop their skills and experience, improve their performance and build their career with us. We have a track record of delivering efficiency in grants administration, increasing effectiveness in grant funding, reducing loss through fraud, and driving innovation in digital solutions. Through our collective efforts we have delivered true value to the public and we are excited to be taking the next steps in our journey.

With this, comes the exciting opportunity to become a part of the Grant's Family. We can’t wait to hear from you!

The Analysis & Insights team provides analytical support to both the GGMF and the Government Commercial Function (GCF). We lead a broad range of analytical projects, from publishing official statistics to economic appraisal and evaluation.

The responsibilities for this role include:

Leading data science projects across both functions:

• Leading data science projects across the GCG by drawing on technical and analytical standards from across government and industry;
• Scoping and leading proactive analysis and technical tasks on priority areas, creating data science products which achieve significant impact;
• Leading on the deep-dive analysis of commercial and grants data and clearly communicating results to the Director-level SLT and teams to highlighting opportunities for Continuous improvement;
• Working with the digital team to map, produce, transform and test new data services, drawing on the most appropriate tools and techniques;
• Managing a series of complex datasets held within the GCG, leading on the reconciliation of the data in these different datasets, and acting as a subject matter expert on this data for the business.

Setting an insights strategy:

• Developing a strategy to maximise the insights drawn from grants and commercial data to support decision making;
• Implementing this strategy, working with SCS stakeholders across government to prioritise delivery areas;
• Developing and automating processes to drive better data management, data quality and data utilisation.

Deliver impactful analysis to senior stakeholders:

• Lead ad-hoc analytical projects to support strategic priorities;
• Ensure that analysis is robust and communicated effectively.

Specialist skills and requirements

Essential Criteria:

• Degree of minimum 2:1 in a numerate subject.

• Programming and build – Strong programming experience using a range of coding practices to build scalable data products for a range of users within a technology context (e.g. Big data, unstructured cloud). Uses Agile/Waterfall techniques and is able to work as part of a delivery team.
• Data Science innovation – Identifies efficient and effective ways to use data science to tackle business and organisational challenges, applying innovative techniques.
• Applied maths, statistics and scientific practices – Applies a range of scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions. Is confident in using analytical approaches and interpreting data.
• Ethics and privacy – Understands the ethical considerations of potential data science approaches, and the legislation applicable in this area, i.e. GDPR, DPA etc. Awareness of existing Government and other frameworks.
• Developing data science capability – Continuously promotes professional development by expanding data science knowledge and sharing best practice across departments/industry.
• Delivering business impact – Applies data science techniques to present, communicate and disseminate data science products to achieve and measure impact whilst maintaining user focus.
• Data engineering and manipulation – Use data engineering and manipulation techniques to produce / improve data product performance by selecting the most appropriate tools and technologies.
• Understanding product delivery across the life cycle – Understands the different product delivery methods and phases to contribute to decision making with impact. Use a range of data sources, analytical tools and techniques throughout the life cycle to develop and deploy robust data science solutions into the business.

We'll assess you against these behaviours during the selection process:

• Delivering at Pace
• Working Together
• Changing and Improving
• Making Effective Decisions

We'll assess you against these technical skills during the selection process:

• Knowledge of analytical methods

• Learning and development tailored to your role.
• An environment with flexible working options.
• A culture encouraging inclusion and diversity.
• A Civil Service Pension which provides an attractive pension, benefits for dependants and average employer contributions of 27%.
• A minimum of 25 days of paid annual leave, increasing by one day per year up to a maximum of 30.

Job contact :

Name :
Laura Greenup
Email :
laura.greenup@cabinetoffice.gov.uk

Recruitment team :

Email :
cabinetofficerecruitment.grs@cabinetoffice.gov.uk