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Sellick Partnership
,
London, Greater London
Data Scientist - London Market
Overview
An opportunity has arisen for an experienced Data Scientist with a strong background in Insurance to join their talents with a leading London Market syndicate. Ideally you will have at least 3 years of working in an Actuarial or Data Science position, preferably within Commercial Insurance, though strong candidates with a GI background will also be considered. Your role will be to identify new data sources for the Pricing team to exploit, use tools such as RShiny for Data Visualisation and train Pricing Actuaries in using open source Data Science tools (R / Python) to build models such as GLMs and GBMs. Furthermore, our client are in the process of implementing Machine Learning techniques across their Pricing function, meaning any experience of building neural networks would be highly advantageous This opportunity represents a chance for an ambitious Data Scientist to make a significant impact across a small team with a global presence. There is a highly competitive salary on offer, a strong pension scheme as well as an annual discretionary bonus. Options for flexible working and other benefits are also available. If you think this role could be of interest, please contact Charlie Christian on 0151 224 1480 to discuss further, or apply below with your CV. Sellick Partnership is a market-leading professional services recruitment specialist operating across the UK. Over the years we have built up an enviable relationship with employers and our expert team of consultants boast up-to-date market knowledge and a strong reputation making Sellick Partnership best placed to help you. Sellick Partnership is proud to be an equal opportunities employer. Please note our advertisements use years' experience and salary levels purely as a guide. We are happy to consider applications from all candidates who are able to demonstrate the skills necessary to fulfil the role. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice which can be found in the footer on our website. This job was originally posted as www.totaljobs.com/job/89904241