
Principal Data Analyst
6 days ago
We are seeking a highly skilled and experienced data scientist to join our finance analytics team. The ideal candidate will have hands-on experience supporting data science initiatives, be self-starters who take ownership of their projects and deliver high-quality data-driven analytics solutions.
The data scientist should collect, parse, manage, analyze, and visualize large sets of data to turn information into insights using multiple platforms. They should develop prototypes and proof of concepts for selected solutions and evaluate various approaches/algorithms to make recommendations tailored to each project.
The data scientist will work closely with the team to perform complex analytics and data preparation tasks, including feature engineering and brainstorming potential data sources, internal and external, that may contain predictive variables.
They will communicate and present findings, including visualizations, to business partners to ensure successful integration of projects into business processes. Proactively follow up on any issues raised during presentations.
Required Skills and Qualifications- Bachelor's degree in Computer Science, Data Science, Statistics, Software Engineering, or related educational background.
- Experience in Python programming language.
- Familiarity with time series modeling techniques.
- 2+ years of data science-related experience.
- Excellent data analysis and advanced data manipulation techniques using SQL.
- Excellent oral and written communication skills. Ability to articulate an understanding of work products.
- Experience with predictive modeling and working with data scientists a plus.
- Data visualization tool experience.
- Business experience and knowledge of the P&C industry a plus.
- Experience with cloud-based technology a plus.
- Excellent working knowledge of relational databases.
- Ability to adapt to rapidly and constantly changing stakeholder requirements.
- Quick to learn, ability to prioritize activities, and responsive to the needs of the business.
- Ability to communicate and present on complex technical concepts to specialist and non-specialist audiences.
The successful candidate will have opportunities to work on challenging projects, collaborate with experienced professionals, and develop their skills and expertise in data science.
They will also receive training guidance and assistance from colleagues and have access to cutting-edge technologies and tools.
OthersThe data scientist will be expected to maintain production forecast modeling pipeline, monitor and refit models as needed.
They will assess the effectiveness and accuracy of the data and data gathering techniques, determine materiality of data issues and challenges, disposition, and recommend path forward.
Perform multivariate and exploratory data analysis and communicate key findings to colleagues and business partners.
Utilize statistics and machine learning to build predictive models and tools supporting business initiatives.
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