Fintech Data Scientist - KTP

£25,000 - £32,000

Leicester, Leicestershire - 2 years potentially leading to permanent post

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Job description

An exciting role has become available at a Leicester-based financial technology (fintech) software company. This position is a key role within an Innovate UK Knowledge Transfer Partnership (KTP) – A collaborative project between Draycir and the University of Leicester. We are looking for an enthusiastic candidate with a strong understanding of machine-learning and data science to develop predictive models for invoice-payment systems.

Project description

• You will be responsible for leading and delivering a challenging and strategic R&D project that directly impacts the business, with the opportunity to be a champion of real change.

• You will receive input and support from an academic team with specialist knowledge and experience relevant to the project.

• We will provide a £4,000 training budget that is tailored to your personal development needs.

• You will have the opportunity to deliver high impact outcomes within a business, whilst learning at the same time – a significant contribution to your long-term career progression.

About the business

Draycir is a Leicester-based fintech company which specialises in software that automates business accounting processes. They provide a range of products but this position focuses on their “Credit Hound” credit control and automation software which integrates with Enterprise Resource Planning (ERP) systems. For further information about the company please visit their website: https://draycir.com.

Credit management software

Data science / software engineering

A background in computer science, mathematics or finance

23 December 2020

24 January 2021

2494


An exciting role has become available at a Leicester-based financial technology (fintech) software company. This position is a key role within an Innovate UK Knowledge Transfer Partnership (KTP) – A collaborative project between Draycir and the University of Leicester. We are looking for an enthusiastic candidate with a strong understanding of machine-learning and data science to develop predictive models for invoice-payment systems.