Data Scientist (AD4343) New York, New York
Summary My client’s expanding Advanced Data Analytics team seek to appoint a commercially driven Data Scientist with proven technical skills in an insurance organisation. You will be responsible for advanced predictive modeling and analysis in support of the Advanced Data Analytics group. This position offers the opportunity for you to see the business value your work achieves and how the company’s direction changes due to data. You will be responsible for developing complex predictive models and perform analysis to provide insight to the business to protect and defend against risks.
Responsibilities & Description of role • Designs and develops predictive models and risk analytics using data collected from the business, leverages advanced statistical modeling, machine learning, and/or data mining techniques.
• Assists in the identification, generation, and selection of features from various structured and unstructured data sets.
• You will identify approaches to model high dimensional sparse data that may require the use of imputation methods.
• You will assist in the application of supervised and unsupervised techniques including linear and non-linear approaches, clustering, decision trees, boosting, deep learning, text mining, and other types of machine learning techniques to improve prediction performance.
• You will assist in the creation and implementation of predictive models and risk analytics tools.
• Design data requirements to bring together data from multiple systems for analysis and model development purposes. Prepare and analyze data to develop recommendations and strategies.
• Work in high performance computing environments to train and test computationally intensive models/algorithms.
• Monitor and evaluate the impact and effectiveness of predictive models or analytics tools in production.
-Key Skills
-Requirements
-Rewards • 3+ years of quantitative experience in an advanced analytics, financial engineering, data science, risk analytics or related role required
• Experience in bringing predictive models and other analytics tools to production required within an insurance organisation
• Proven experience in machine learning, hypothesis testing, regression analysis, statistics, or probability, as well as experience creating predictive analytics on high dimensional, noisy data that may also contain missing values preferred.
• Experience in natural language processing, especially in text analytics and news aggregation methodologies preferred.
• Hands-on technical experience with conceptualizing large scale data solutions, such as --- Hadoop, Teradata, Sybase IQ, Microsoft Analytics Platform System (Client), IBM Netezza, etc. preferred