NCF Level: 3

Clearly articulates dependencies on other teams / systems / infrastructure and builds these in to plans.

Operationalises and automates activities for the efficient and timely production of data products eg reproducable analytical pipeline (rap).

Anticipates requirements for scalability, resilience, reproducibility and security and ensures these are addressed.

Participates in reviews of own work and leads reviews of colleagues’ work.

Applies agreed standards to achieve well-engineered outcomes.

Contributes to selection of the development approach and tools for projects.

Plans, designs, creates, amends, refactors, verifies, tests and documents complex programs/scripts and integration software services.

Takes responsibility for the accessibility, retrievability, quality, and ethical handling of data within analytical products.

Provides advice on the transformation of data from one format or medium to another.

Provides advice and guidance to others using data structures.

Carries out complex data quality checking and remediation.

Enables efficiencies by ensuring that information about data sources is documented and made available for the benefit of others.

Investigates data requirements where there is some complexity and ambiguity.

Applies knowledge in the breadth of techniques available for manipulating and creating new data sources through linking or matching multiple datasets.

Assesses the integrity and suitability of data from multiple sources.

Maximises the analytical potential of new and existing data sources including open data.

Develops new uses of existing data sources.

Develops and maintains knowledge of database and data warehouse concepts, design principles and technologies and works with data engineers to implement database / data warehouse designs that support the demands of data analytics.

Maintains and applies specialist knowledge in data exploration techniques for diverse data types

Applies data analysis, design, modelling, and quality assurance techniques, to establish, modify or maintain data pipelines, datasets and metadata for diverse data types.

Interrogates datasets in novel ways to generate insight and/or add value to data products.

Works collaboratively with customers to develop proposals for the development of new data products that will meet user needs, including novel solutions that will allow customers to work in new ways and/or take advantage of previously untapped data resources.

Experiments with innovations, manages and learns from failures and shares lessons learned within and across teams.

Keeps abreast of new and evolving technologies, tools, and analytical techniques, such as free and/or open source software, and suggests appropriate methods and techniques to incorporate in project work.

Highlights opportunities offered by new data and technology.

Understands the value of User Research and User Centred Design and adopts these principles and/or collaborates effectively with colleagues from these professions to deliver enhanced products.

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

Leads colleagues to create more advanced outputs.

Independently creates and delivers reports and data visualisations in accordance with stakeholder needs and agreed standards.

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.

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.

Provides advice and guidance in the use of organisational standards and frameworks.

Considers legal and ethical issues.

Plans, organises and conducts analytical quality assurance activity in line with organisational standards and frameworks and determines whether appropriate standards have been met.

Oversees the assurance activities of others, providing advice and expertise to support assurance activity.

Is an active member of networks and communities.

Supports recruitment and professional development of self and others.  

Actively identifies and takes opportunities to promote data science to the wider community.

Designs, implements, tests, and improves technical architectures and systems.

Provides expert advice in evaluating the problems put forward for solution with data science techniques.

Contributes to developing policy, standards, and guidelines for developing, evaluating, monitoring, and deploying data science solutions.

Manages reviews of the benefits and value of analytics techniques and tools and recommends improvements.

Communicates results using methods appropriate to the target audience, ensuring that model performance and uncertainty are understood.

Effectively implements analysis and reporting in areas where there is some complexity and ambiguity.

Understands and applies rules and guidelines specific to analytics in healthcare and anticipates risks and other implications of modelling. 

Contributes to the development, evaluation, monitoring and deployment of data science solutions using specialised programming languages and tools.

Investigates the described problem and available datasets to assess the usefulness of data science solutions, undertaking discovery activity to inform these investigations.

Plans and drives all stages of the development of data science and analytics solutions. 

Specifies and applies appropriate analytical techniques to create value added data science products, drawing on expertise in a wide range of techniques and often directing analytical contributions from others.

Uses expertise to propose techniques appropriate to business problems and the characteristics of datasets. 

Exhibits expertise in a number of techniques including their theoretical basis and application.

Applies a range of analytical techniques, in consultation with experts where appropriate, and with sensitivity to the limitations of the techniques.

Identifies areas of potential risk in own and others’ work, selecting and using appropriate quality assurance methods and suggests appropriate mitigation of risk.

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