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Data Scientist - Insurance - Illinois

Job Title: Data Scientist - Insurance - Illinois
Contract Type: Permanent
Location: Chicago, Illinois
Industry:
Salary: Negotiable
: ASAP
REF: 22ktyt_1519405891
Contact Name: Shane McGonnell
Contact Email: Shane.McGonnell@ojassociates.com
Job Published: 4 months ago

Job Description


Are you a passionate data scientist with the ability to tell a meaningful story with data?? Are you results driven with an innate curiosity to find the detail? Do you want to join a global leading P&C Insurance?
Do you want career progression?

Data Scientist - Life Insurance - Chicago, Illinois

Are you a passionate data scientist with the ability to tell a meaningful story with data?? Are you results driven with an innate curiosity to find the detail? Do you want to join a global leading P&C Insurance?

Do you want career progression?

If so read on….

I am partnered with, a long established international Insurance company who are investing and developing in the Data & Analytics team.

Experience with programming and data tools such as SAS, R, Python, MATLAB,

The business has an already experienced Data Science team, and from day one you will be surrounded by talented data scientists all striving to shape and define intelligent business decision making.

Responsibilities

As a Data Scientist you will be responsible for

  • Partner with end-users to solve business challenges by applying advanced analytical techniques to complex data sets that deliver financial results
  • Understand and structure business challenges for insight generation
  • Scan a broad spectrum of internal and external, structured and unstructured data sources to define the data needed to test the hypotheses
  • Generate distinctive risk insights

My client is looking for a Data Scientist with the following skills

  • Advanced understanding of statistical and predictive modelling techniques such as generalised linear modelling, decision trees, association rules, clustering, regression, machine learning, probability networks, and neural networks
  • Experience in applying data transformation techniques such as such as exact and probabilistic matching methods (e.g. fuzzy matching), text mining, and data reduction
  • 2-5 Year's experience within the Insurance industry