Senior Data Scientist

Sr Data Scientist - GD07AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

Senior Data Scientist

You are…

… a motivated problem solver ready to pursue meaningful work.  You strive to make an impact every day not only at work, but at home and in the community too.  Congratulations: You’ve landed in the right place!

Overview of the Position

The Incubation Lab is dedicated to data-driven innovation within Commercial Lines Data Science at The Hartford.  The lab focuses on value-multiplying our insurance portfolio by evaluating new, cutting-edge technologies, datasets, and insuretech vendors; prototyping predictive models; and supporting The Hartford’s data science teams and their business partners in leveraging data to drive process and product improvements.

The Hartford’s Incubation Lab seeks an energetic and passionate Senior Data Scientist to drive the design, development, and implementation of solutions modernizing and transforming our operations and business. This position requires knowledge and experience of statistical or probabilistic modeling, data transformation and visualization, and will offer career-accelerating opportunities to refine skills and domain expertise in both the business and the craft of data science.

In this role, you will be part of a team working in a fast-paced, open-ended environment with cutting edge technologies in deep learning and generative AI. You’ll help define and influence how our firm’s data scientists and business teams leverage data and machine learning to improve our processes and products.

Success will depend on your ability to break down and solve the problems of business stakeholders and other data science teams, quickly delivering valuable prototypes and recommendations.

This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday)  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.

Must be eligible to work in the US without company sponsorship

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

What’s in it for you?

• Deepen your skills as part of a supportive, constructive environment:
• Hone your understanding of data analysis, emerging technologies, and development practices
• Exercise your communication, analytical, interpersonal, and organizational capabilities
• Support and lead rapid software development and deployment using a mix of technologies
• Enhance your entrepreneurial mindset working to solve problems for teams across the enterprise
• Sharpen your skills with hands-on experience testing and proving out applications of the latest technologies across computer vision, deep learning, and generative AI

Accelerate your career:

• Collaborate in a high-performing, fast-paced team, participating in and fostering a culture of constructive feedback
• Define, iterate, and deliver in a focused, high-visibility environment to stakeholders including teams and leaders across the enterprise
• Demonstrate your skills by driving forward high value projects, independently solving problems that arise in the course of work

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 partners

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

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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