A successful applicant is expected to be able to collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making; and utilize data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This level reflects solid knowledge of predictive analytics techniques while continuing to learn how to apply techniques to business issues.

Job Responsibilities

• Apply knowledge of sophisticated analytics techniques to manipulate structured and unstructured datasets in order to generate insights to inform business decisions.
• Identify and test hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications.
• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enable the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.
• Create ML tools that support product pricing.
• Be responsible for smaller components of projects of moderate-to-high complexity.
• Regularly engage with the data science community and participate in cross-functional working groups.
• The actual internal level/grade for this role will depend on the candidate's overall experience and skill level

• Solid knowledge of predictive analytics techniques and statistical diagnostics of models.

• Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Keras, TensorFlow, PyTorch etc.
• Insurance industry experience is an advantage.
• ML/NLP/Deep Learning knowledge/experience is an advantage.
• Competencies for Analyst I, Data Science, typically acquired through a Master`s degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 0-1 years of experience or may be acquired through a Bachelor`s degree and 3+ years of relevant experience.