Senior Data Scientist (hybrid) @ Hartford Financial Services Group

Job Information

Job Description:

Responsibilities

·         Assess the value of new data sources and analytical techniques to ensure ongoing competitive advantage

·         Design and conduct cost-benefit analysis and estimate value-add of data-driven solutions, including third party data sources, vended data science tools, new analytic and machine learning techniques, cutting edge generative AI, and more

·         Remain current on data science and machine learning techniques and state-of-the-art tools and data sources

·         Engage with technical and business stakeholders to define and design solution concepts

·         Support the design and lead implementation of components of complex technological proofs of concept

Qualifications:

·         3-5 years of hands-on experience as a data scientist

·         Bachelor’s or advanced degree in a quantitative field such as (but not limited to): computer science, quantitative economics, data analytics, mathematics, or physics. Additional experience can be substituted for formal education.

·         Experience learning other teams’ business practices and brainstorming ways to create value for them

·         Understanding of current and emerging IT products, services, processes, and methodologies.

·         Experience with disciplines such as: predictive modeling techniques (ex: random forests), scripting languages (ex: python), coding best practices (ex: version control), SQL (ex: Oracle, PL/SQL), and big data environments (ex: AWS, GCP, Azure, Hadoop)

·         Demonstrated analytical approach with an ability to uncover and resolve problems by delivering innovative approaches and solutions

·         Self-motivated and results-oriented, with a strong sense of ownership and accountability, and ability to manage time and schedules effectively

·         Natural curiosity with a strong desire to learn, maintain, and apply knowledge of emerging data technologies

·         Basic understanding of software development lifecycle (Agile) and deployment (CI/CD)

·         Strong written, verbal communication, and presentation skills with ability to effectively communicate with nontechnical partner

Desired Qualifications:

·         Demonstrated experience with SQL and the python data science stack

·         Track record of delivering analytical projects covering all stages of data utilization, from collection through transformation to analysis and evaluation of implications

·         Passion for learning new skills

·         Ability to respond to adjustment of priorities based on changing demands/needs

·         Experience participating in production and rapid delivery of minimally viable products with a “fail-fast” approach

·         Strong practical experience using quantitative approaches, demonstrating knowledge of their benefits and limitations

·         Knowledge of property & casualty insurance business


Benefits:
Experience Level: Mid-Senior
Work From: Hybrid

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