Data Scientist for Predictive Analytics

4 weeks ago

Perth, Western Australia VERIKAI Verikai Inc. Full time
The insurance industry is undergoing a significant transformation, driven by the adoption of cutting-edge technology and innovative solutions. At VERIKAI Verikai Inc., we are at the forefront of this revolution, leveraging predictive analytics and AI-powered solutions to empower insurers with advanced data-driven risk assessment insights. As a Senior Data Scientist on our analytics team, you will play a critical role in developing and refining our machine learning algorithms to extract greater value from our data and provide more value to our customers.

Responsibilities

* Develop and implement cutting-edge machine learning algorithms to enhance our proprietary modeling platform
* Refine and tailor our proprietary machine learning algorithm to better fit into various scenarios presented by our customers and our own visions
* Continuously seek out new and useful attributes to expand our core data assets from various data sources, such as the US Census Bureau, and validate the usefulness of the new data
* Utilize appropriate tools to clean customer data, including PySpark, R, Python, or Excel, to prepare for upcoming data analysis or modeling exercises
* Conduct descriptive analysis or other statistical analysis on customer data to identify valuable patterns to guide customers' business decisions
* Help prepare presentations or other customer-facing materials to demonstrate the value of our insights and educate customers on what we did and how we did it
* Present results and findings to customers as a technical expert, industry insider, and company promoter

Requirements

* Bachelor's degree or above in Statistics, Mathematics, or Computer Science with 3-5 years of relevant working experience
* Demonstrates experience dealing with large datasets and creating models to solve real customer problems, with experience modeling insurance data being a plus
* Deep knowledge in statistical modeling, knowing what's good and what's bad and how to tweak the parameters
* Proficient in Python or R, familiar with PySpark and Excel
* Critical and independent thinking, able to establish logical assumptions and think through scenarios
* Creative, open-minded, and positive attitude when challenges present themselves
* Not afraid of doing independent research, not settling for trivial progress
* Attention to detail; sense of ownership in your work
* Effective communication, able to explain complex statistical terms and results to both technical and non-technical audiences

Security, Confidentiality, and Availability

* Review, accept, and adhere to all security and confidentiality policies and procedures listed below, where many policies apply directly to every company employee and some policies only apply directly to employees in particular departments: Proprietary Information and Inventions Agreement, Acceptable Use Policy, Access Control and Termination Policy, Business Continuity and Disaster Recovery Plan, Change Management Policy, Code of Conduct, Configuration and Asset Management Policy, Data Classification Policy, Data Retention and Disposal Policy, Encryption and Key Management Policy, Information Security Policy
* Make conscientious decisions in what information is shared with internal and external stakeholders, keeping in mind security and confidentiality policies
* Be available during local regular business hours and respond to requests and concerns as quickly as possible outside of those hours based on urgency

The estimated salary for this role is $154,000 - $174,000 per year, based on the level, location, and industry standards. In addition to the base compensation, we offer a competitive Total Rewards package, which includes medical, dental, vision, paid time off, and a 401(k) plan for full-time and part-time employees who are eligible for benefits.

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