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Why Choose Acrisure?
Acrisure Innovation is a fast paced, AI-driven team building innovative software to disrupt the $6T insurance industry. Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science.
At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries.
As Decision Scientist, you will be consulting with a cross-functional team of technologists to stand up a best-in-class analytics and tech stack to drive growth across our financial services verticals. In this unique role, you will be helping business units take advantage of data and analytics in two ways. First, you will be helping drive transformational change by executing analytics initiatives that provide the insights and recommendations that will underpin our corporate strategy. Second, you will be maturing our analytics competency by helping develop the resources, self-service tools and quality standards for our function to meet business units’ needs at scale. You will enable us to learn and scale rapidly by delivering insights to optimize performance and shaping the processes that will unblock barriers to scale.
Here are some of the ways in which you’ll achieve impact:
Deliver Best-in-Class Analytics for Key Corporate Initiatives
Deliver Data-Driven Insights and Recommendations
You may be fit for this role if you are:
Results-oriented. You value outcomes over activities, and you can independently chart your path to deliver the desired results
Other requirements:
Technical skills: Proficiency in SQL is required. Familiarity with Python or other scripting languages is a plus.
It’s not expected that any single candidate would have expertise across all of these areas. If you are a solid candidate and eager to drive impact by building a best-in-class analytics capability, we are eager to talk to you.
#LI-Hybrid
#BI-Hybrid
Full Time
$95k-122k (estimate)
05/11/2024
07/11/2024
The job skills required for Decision Scientist include SQL, Insight, Python, Data Analysis, Futures, Initiative, etc. Having related job skills and expertise will give you an advantage when applying to be a Decision Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Decision Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Decision Scientist positions, which can be used as a reference in future career path planning. As a Decision Scientist, it can be promoted into senior positions as a Business Intelligence Specialist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Decision Scientist. You can explore the career advancement for a Decision Scientist below and select your interested title to get hiring information.