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Position: KTP Associate: Machine Learning & AI Data Scientist
Institution: University College London
Department: Computer Science
Location: London, United Kingdom
Duties: The KTP Associate will develop an innovative Emerging Risk Analytics Tool which will identify and track risks from external data sources using algorithmic search, machine learning and natural language processing. The Tool will help Kennedys’ insurer clients identify and quantify future risks (and thereby understand their risk tolerance). The post holder will work to provide Kennedys with unprecedented access to data-informed knowledge and analytics
Requirements: Candidates will require a Masters in data science or related field, e.g. machine learning, physics, maths, statistics, computer science, natural sciences. You will have experience with scientific programming and practical data science in R or Python (with standard data scientific packages and toolboxes) as well as some basic knowledge of predictive modelling (such as probabilistic risk models and event models) or unstructured data modelling (including NLP, text mining). KTP Associates need to be good communicators with a keen interest in applying academic theory to real-world industrial problems
   
Text: KTP Associate: Machine Learning & AI Data Scientist, - Ref:1791405 Click here to go back to search results Apply Now UCL Department / Division Computer Science Location of position UK non-UCL site Location of the work (non-UCL site) London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) Grade 6B: ?30,922 - ?32,607 per annum or Grade 7: ?35,328 - ?42,701 per annum Duties and Responsibilities Both legal services and insurance services are experiencing unprecedented change. The latest wave of machine learning and AI technologies threatens to transform these industries and this is an opportunity to make a substantial impact in a space that is at the beginning of digital transformation. This is a unique opportunity to gain commercial skills and experience, working inside a dynamic company which is changing the face of risk analytics in the insurance sector, and working alongside world-leading academics on an innovative and scientifically rigorous project. UCL is one of the UK?s premier universities and is consistently ranked among the world?s top 10. The UCL Department of Computer Science was ranked first in the UK for Computer Science with 96% of its research ranked as internationally excellent (2014 REF). Kennedys is a global law firm with expertise in litigation/dispute resolution and advisory services, particularly in the insurance/reinsurance and liability sectors. UCL and Kennedys are coming together through a Knowledge Transfer Partnership (KTP), a national government-backed scheme which helps businesses to innovate and grow, by linking businesses with a university and a highly-qualified graduate, known as a KTP Associate. We are now recruiting for a KTP Associate who will work on this innovative project putting the latest academic research into practice, based full-time at Kennedys Law offices in London, The KTP Associate will develop an innovative Emerging Risk Analytics Tool which will identify and track risks from external data sources using algorithmic search, machine learning and natural language processing. The Tool will help Kennedys? insurer clients identify and quantify future risks (and thereby understand their risk tolerance). The post holder will work to provide Kennedys with unprecedented access to data-informed knowledge and analytics. This post is funded for 24 months in the first instance. Key Requirements Candidates will require a Masters in data science or related field, e.g. machine learning, physics, maths, statistics, computer science, natural sciences. You will have experience with scientific programming and practical data science in R or Python (with standard data scientific packages and toolboxes) as well as some basic knowledge of predictive modelling (such as probabilistic risk models and event models) or unstructured data modelling (including NLP, text mining). KTP Associates need to be good communicators with a keen interest in applying academic theory to real-world industrial problems. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary ?30,922 - ?32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding the vacancy or the application process, please contact Prof Tomaso Aste t.aste@ucl.ac.uk. UCL Taking Action for Equality Closing Date 13 Mar 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description and Person Specification Apply Now
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