Senior Data Scientist

BP&C • Chicago, IL

1d

About The Position

Argo Group International Holdings, Inc . and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. (“BWS”), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences.

Requirements

• Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.
• Five years of experience as a Data Scientist in a reputed organization.

Responsibilities

• Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success.
• Helps to define and communicate governance principles.
• Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods.
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA).
• Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing.
• Testing of ML models, such as cross-validation, A/B testing, bias and fairness
• Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases.
• Trains other business and IT staff on basic data science principles and techniques.
• Networks with internal and external partners.
• Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice).

Benefits

• We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees