Data Scientist

Overview

This role sits within the Data Analytics Service Team in the Public Sector Fraud Authority. You will be working as a Data Scientist to advance how the government uses data to find fraud within the public sector. You will support the engagement with government agencies to support them in identifying where data analysis could be applied to their business processes to most effectively counter residual fraud risks.

You will work closely with a range of stakeholders; helping agencies fully map the data processes underpinning their schemes, identifying the information and analytics gaps that are the root cause of suspected fraud risks and advising on analysis and products to address residual fraud risks. With support and guidance, you will apply data science best practises to build innovative products and present any findings, outputs and recommendations to senior stakeholders.

The role will sit within a multidisciplinary team of data scientists, data engineers, delivery managers and business analysts.

• Conduct analysis using a range of complex data sources related to fraud and economic crime.
• Perform analysis in Python and SQL, including machine learning.
• Use cloud based microservices to develop and deliver large language model based products
• Communicate analysis clearly and in an engaging manner to non-technical audiences, drawing out the key messages.
• Present findings, outputs and recommendations to stakeholders, managing sensitivities in the results and maintaining good relationships with these stakeholders to facilitate future work.
• Develop and improve interactive dashboarding and setting the direction for current and future reporting using tools such as Power
  
  BI.
• Explore and describe data using a variety of tools and be able to present them to wider audiences without data backgrounds.
• Work effectively with a range of stakeholders, within and outside of Government, on collaborative projects and to promote the work of the team.
• Maintain your own professional development and build a strong supportive and inclusive culture across the team.