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Sr. Data Scientist (Hybrid)
Sr. Data Scientist (Hybrid)-June 2024
Hartford
Jun 15, 2025
ABOUT THE HARTFORD
The Hartford is a leader in property and casualty insurance, group benefits and mutual funds. Together, we help people achieve amazing things.
10,000+ employees
Financial Services, Insurance
VIEW COMPANY PROFILE >>
About Sr. Data Scientist (Hybrid)

  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.

  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 push forward the design, development, and implementation of solutions modernizing and transforming our operations and business based on vehicle telematics and other sensor data. This position requires a thorough knowledge of statistical or probabilistic modeling, data transformation and visualization, and experimental design, and will offer career-accelerating opportunities to build skills and domain expertise in the business and craft of data science and the Internet of Things.

  In this role, you will be part of a team working in a fast-paced, open-ended environment to help define how our firm’s data scientists and business teams leverage telematics and other sensor data to improve our processes and products. Success will depend on your ability to rapidly learn the craft and the business and quickly deliver capabilities and recommendations for partners within the Internet of Things Lab and other stakeholders.

  Responsibilities:

  Engage with technical and business stakeholders to help define problems and design solutions

  Identify and advocate for opportunities for experimentation, predictive modeling, and adding value through understanding data

  Lead design of experiments for both internal and external stakeholders

  Interpret data and experimental results for technical and non-technical business stakeholders

  Understand, communicate, and help realize the value of experiments and data in business decision-making

  Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations

  Assist in identifying and assessing the value and quality of new data sources and analytical techniques to ensure ongoing competitive advantage

  Create data visualizations and tooling used by business stakeholders

  What’s in it for you?

  Build your skills in a supportive, constructive environment:

  Develop a deeper understanding of data analysis, emerging technologies, and development practices

  Grow your communication, analytical, interpersonal, and organizational capabilities

  Learn and support rapid analytics development and deployment using a mix of technologies

  Foster an entrepreneurial mindset, working to support teams across an enterprise

  Accelerate your career:

  Collaborate in a high-performing, fast-paced team

  Iterate and deliver in a focused, high-visibility environment to stakeholders including teams and leaders across the enterprise

  Deliver work in a culture of constructive feedback with many opportunities for growth and advancement based on consistent demonstrated performance

  Q ualifications :

  3-5 years of data science experience in a business environment

  Experience with data science tools including: scripting languages (ex: python), SQL (ex: Oracle, PL/SQL), and big data tools and/or cloud environments (ex: AWS, Spark, Azure, Hadoop, Snowflake)

  Demonstrated analytical approach with a strong interest in defining and resolving open-ended problems by delivering innovative approaches and solutions

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

  Strong understanding of quantitative approaches, their benefits, and their limitations

  Experience designing experiments, shepherding them to completion, and conducting statistical inference on the results

  Able to communicate effectively with both technical and nontechnical teams, especially translating technical topics to inform business strategy

  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:

  $104,320 - $156,480

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

  About Us (https://www.thehartford.com/about-us) | Culture & Employee Insights (https://www.thehartford.com/careers/employee-stories) | Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity) | Benefits (https://www.thehartford.com/careers/benefits)

  Human achievement is at the heart of what we do.

  We believe that with the right encouragement and support, people are capable of achieving amazing things.

  We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.

  Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.

  We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.

  About Us (https://www.thehartford.com/about-us)

  Culture & Employee Insights

  Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity)

  Benefits

  Legal Notice (https://www.thehartford.com/legal-notice)

  Accessibility StatementProducer Compensation (https://www.thehartford.com/producer-compensation) EEO

  Privacy Policy (https://www.thehartford.com/online-privacy-policy)

  California Privacy Policy

  Your California Privacy Choices (https://www.thehartford.com/data-privacy-opt-out-form)

  International Privacy Policy

  Canadian Privacy Policy (https://www.thehartford.com/canadian-privacy-policy)

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