Data Scientist - KTP Associate

£33,309 - £40,927

Liverpool, Merseyside - 24 months

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Job description

This is a challenging and exciting opportunity to work on a two-year Management Knowledge Transfer Partnership (mKTP) project with University of Manchester and Jackson Lees Group. A Knowledge Transfer Partnership (KTP) is a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry. The mKTP project will make a tangible difference to the business and will provide the post-holder with wide-ranging and senior level experience and an opportunity to lead a project across a range of business functions. This will include the opportunity to introduce and embed a novel data driven psychometric tool within a broader AI-based client management system that will improve lawyer-client relationships at JLG.

The University of Manchester and JLG are looking to recruit a researcher in Machine Learning and Natural Language Processing to undertake this project which has an overall aim of delivering an end-to-end AI-driven framework that will augment human decision-making capabilities in JLG, and automate the creation of bespoke customer journeys.

The position will provide the post holder with a unique opportunity to develop new methods for natural language processing (NLP) and machine learning incorporating state-of-the-art findings relating to emotional regulation and behavioural preferences of customers. The successful candidate will take a leading role in the development of emotionally-aware and cognitively-enhanced AI methods and tools, which will then be embedded into JLG’s processes. However, the post holder will work in tandem with a Behavioural Psychology Research Consultant (KTP Associate) who will provide the interface for the cutting-edge psychometrics research and practice that will support the development and implementation of a state-of-the-art psychological tool in a business context.

Candidates are required to have a recently-obtained 2:1 degree (or equivalent) and a PhD degree in Computer Science with specialisation in Machine Learning, Natural Language Processing, Predictive Analytics or a subject related to data science. However, a Masters in a related subject area with prior related work experience (3 years +) in a commercial and/or industrial environment will be considered.

The position is based at JLG in Liverpool the successful candidate will work directly with supervisors from both the UoM and JLG. The facilities and resources of both organisations will be made available to successfully complete the project.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Project description

To create sustainable growth and productivity improvement by combining behavioural psychology profiling and emotional regulation with advanced data science techniques to tackle complex work processes and transform the way JLG engages, supports its clients and staff through the legal frameworks.

About the business

Jackson Lees Group are an award-winning law firm in Liverpool and the North West committed to doing what is right. We truly value the unique and longstanding relationships we have forged with our clients.

Legal

Data Science

recently-obtained 2:1 degree (or equivalent) and a PhD degree in Computer Science with specialisation in Machine Learning, Natural Language Processing, Predictive Analytics or a subject related to data science. However, a Masters in a related subject area with prior related work experience (3 years +) in a commercial and/or industrial environment will be considered

14 October 2021

15 November 2021

HUM-017668


This is a challenging and exciting opportunity to work on a two-year Management Knowledge Transfer Partnership (mKTP) project with University of Manchester and Jackson Lees Group. A Knowledge Transfer Partnership (KTP) is a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and industry. The mKTP project will make a tangible difference to the business and will provide the post-holder with wide-ranging and senior level experience and an opportunity to lead a project across a range of business functions. This will include the opportunity to introduce and embed a novel data driven psychometric tool within a broader AI-based client management system that will improve lawyer-client relationships at JLG.

The University of Manchester and JLG are looking to recruit a researcher in Machine Learning and Natural Language Processing to undertake this project which has an overall aim of delivering an end-to-end AI-driven framework that will augment human decision-making capabilities in JLG, and automate the creation of bespoke customer journeys.

The position will provide the post holder with a unique opportunity to develop new methods for natural language processing (NLP) and machine learning incorporating state-of-the-art findings relating to emotional regulation and behavioural preferences of customers. The successful candidate will take a leading role in the development of emotionally-aware and cognitively-enhanced AI methods and tools, which will then be embedded into JLG’s processes. However, the post holder will work in tandem with a Behavioural Psychology Research Consultant (KTP Associate) who will provide the interface for the cutting-edge psychometrics research and practice that will support the development and implementation of a state-of-the-art psychological tool in a business context.

Candidates are required to have a recently-obtained 2:1 degree (or equivalent) and a PhD degree in Computer Science with specialisation in Machine Learning, Natural Language Processing, Predictive Analytics or a subject related to data science. However, a Masters in a related subject area with prior related work experience (3 years +) in a commercial and/or industrial environment will be considered.

The position is based at JLG in Liverpool the successful candidate will work directly with supervisors from both the UoM and JLG. The facilities and resources of both organisations will be made available to successfully complete the project.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.