NCF Category: Communication (Machine Learning)

Develops and maintains links with machine learning colleagues in the wider community of academia and industry.

Understands the system context of their product including the identification of stakeholders and appreciation of wider issues.

You are aware of the benefits and value of different solutions.

You have an awareness of the available standards and procedures.

Uses reporting processes to highlight risk and issues and any performance changes.

Evaluates data products to ensure that they meet the needs of a variety of users and utilises feedback for continuous improvement.

You have an awareness of the available tools, considering multiple options for tooling and their implications

Leads colleagues to create more advanced outputs.

Draws out the key messages for the customer and provides insight to inform debate and influence decision making.

Clearly explains the implications of analytical evidence and makes reasonable recommendations based on the results of analysis.

Communicates key messages from analytical work in clear and concise terms for a variety of audiences.

Develops and maintains links with machine learning colleagues in the wider community of academia and industry.

Understands the system context of their product including the identification of stakeholders and appreciation of wider issues.

You can communicate the benefits and value of different solutions.

You lead and advise on the adoption of available standards, procedures, methods, tools and techniques.

Ensures that reporting processes are robust, efficient and fit for purpose.

Understands how to integrate findings from user research and collaborates effectively with colleagues from these professions to deliver enhanced products.

Develops plans demonstrating how user needs will be met.

You lead on and support the team in determining the available tooling and can make balanced and pragmatic recommendations, based on the known associated positives and negatives.

Engages with customers, shares findings and leads on debates that may influence decision making, inspiring the team to do similarly.

Presents analytical work appropriately tailored to a range of internal and external audiences.

Has comprehensive knowledge of the strengths and limitations of analysis and the underlying data and is able to provide caveats in a constructive way.

Communicates key messages to customers and translates research, analysis and results for a non-technical audience.

Reports fully on own and team’s analytical work in sufficient detail to meet customer needs, effectively presenting results in both written and oral form and explaining strengths and limitations of analysis and the underlying data.