IT Search is working exclusively with a global & widely recognised brand to appoint a Data Scientist to build models, manipulate large datasets with R & Python, NLP & image classification tools and to "COME PLAY" with data! Looking no further if hardcore mathematical modelling is of interest! 

You'll work with a team of data engineers, quant analytics, data scientists and data analysts - sharing techniques and learning loads! 

Our client is a global leader in the FS space - you'll work on customer and claim analytics.

The opportunity

• As part of a team you'll report into a dynamic and highly experienced manager (mentor)

• You'll create models and perform complex data analyses

• You'll play an important role in analysis ratios and exploring improvements for key projects ensuring that there is a value delivered for customer's needs.

Ideally you'll have 4+ years experience in a data heavy environment

• You love utilising statistics and statistical tools including R
• If you have exposure to financial analytics data science - this is a major plus however our client place a premium on problem solvers and 'playful doers' - if you can apply your skills to their domain - they're happy to support you to learn the ropes.
• An undergraduate degree in maths, applied maths, statistics or similiar is essential
• Postgraduate education e.g. a diploma in maths or statistics or masters/ PhD would be ideal (we mean hardcore maths modelling or stats or comp science)
• Coding skills to boot are very nice to have!  Hint: Python Python Python

A significant package (up to c. 70) plus bonus and a range of excellent benefits are on offer with this role including healthcare, generous annual leave and flexible working! 

Our client is an equal opportunities employer - however visa sponsorship is not available for this role.

About IT Search

Adrian Clarke is Head of Analytics Recruitment at IT Search - Global Technology Search  - Ireland. Your application will be handled in strictest confidence & we will be happy to advise you on your career & direction in digital technology, data analytics, data science, data technology or digital analytics.