Data Scientist

The Hartford
The Hartford

Job Overview

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you’ve landed in the right place.Data ScientistPosition DescriptionThe Hartford is looking for a driven and motivated Data Scientist to join our Claims Data Science team. The candidate will be part of our growing Data Science community providing analytical solutions to The Hartfords Claims Organization. Our challenging business problems require our team members to be excellent problem solvers, thought leaders and have a robust skillset beyond technical requirements. Were looking for someone energized to be a part of our purpose by providing clever ideas, delivering thoughtful solutions, and harnessing new-age technology.Overview of the PositionThe Claims Data Science team has a robust portfolio of production assets and is committed to continuing to explore new ways to use data and analytics to solve business problems. The team utilizes a wealth of data, both internal and external, and predictive analytics in order to enhance claim outcomes, processes and the customer experience.As a Data Scientist, you will be a key contributor to the team by partnering closely with expert resources to design, develop, and implement new features and techniques to improve our view of claim segmentation and decision support. Our toolbox consists of, but is not limited to, statistical modeling techniques, machine learning, cognitive computing, unsupervised learning, and automated and augmented intelligence.There will be a combination of team collaboration and independent work efforts. This role combines business and technical skills involving collaboration with business customers, data science partners, internal and external data suppliers and information technology partners. We seek candidates who think analytically and outside of the box while questioning current processes and continuing to build on the individuals business and technical acumen.Responsibilities+ Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset+ Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations+ Help identify long term opportunities within the claim cycle through the creation of models, algorithms and machine learning techniques to achieve financial objectives and solve problems+ Participate in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage+ Perform data mining and transforms raw data into actionable business information+ Quantify potential benefit of modeling initiatives through establishing benchmarks and estimating the economic impact of operational decisions+ Accountable for long term ownership of models developed and evolution of those models as assigned+ Support and model a high-performance collaborative culture+ Develop a broad knowledge of The Hartford’s formal and informal structures, business processes, and data sources beyond your immediate area of expertise+ Remain current on research techniques and become familiar with state of the art tools applicable to your function+ Invest in the data scientists community by thought partnership, mentoring, training, and supporting peersExperience & Skills+ Masters or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, a similar analytical field or progress towards or attainment of a relevant professional designation (i.e. ACAS/FCAS, ASA/FSA, CFA, CSPA, etc)+ 5+ years of relevant experience in Research Function in Insurance or Financial Services or related field+ Subject matter expertise in modeling data and analytical capabilities utilizing H2O, Python and/or R.+ Experience in Insurance markets, Claims and/or Healthcare is a plus+ Developed verbal/written communication skills, with particular emphasis on communicating to non-technical audiences+ Ability to translate complex technical topics into business solutions and recommended strategies+ Experience with big data technologies (i.e. Hadoop, Spark, Hive, etc.)+ Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.)+ Exposure to executing change to core business processes through the innovative use of quantitative techniques+ Adherence to standard practices and use of version control tools such as GitHub+ Project management experience a plusCompetencies+ Drive and commitment to what is necessary to get the job done efficiently, thoroughly, and professionally+ Results-oriented. Demonstrates a sense of urgency and accountability for business issues+ Innovative. Seeks new and creative ways to approach analytical exercises and develop projects with end-to-end proof of concepts+ Designs solutions that encourage adoption and can be easily scaled in production+ Customer focused. Builds effective relationships with internal partners, including product, actuarial, underwriting, operations, and information technologyEqual Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeData Scientist – GD08AEHuman 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.Were also committed to programs that drive education and support volunteerism, which put human beings first. We do it because its the right thing to do, and because when our customers, communities and employees succeed, we all do.

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