Swyfft

Data Scientist (US Remote)

Job description

At Swyfft, we're reshaping the way home insurance and commercial package products are priced and bound. We've created an insurance experience that's smart, instant, and designed to deliver unparalleled customer service.


Our focus on lightning-fast quotes and seamless claims servicing is powered by cutting-edge technology and an Agent and Customer-centric approach that sets us apart in the industry.


Joining Swyfft means becoming part of a dynamic team of forward-thinkers who thrive on moving fast and delivering exceptional products. We pride ourselves on fostering an environment where creativity and positive energy thrive.


As we continue to grow and expand, we're on the lookout for experienced professionals like you to join us in transforming the insurance landscape. If you're passionate about leveraging technology to provide the best customer service experience and are ready to be a part of our journey, we welcome you to explore opportunities at Swyfft!


About the Position:

We believe that building an effective insurance company is best accomplished with a systematic, quantitative framework. Underwriting profitability is a problem that we are committed to solving effectively by applying modern statistical and machine learning techniques!


As a Data Scientist, you will help build and evaluate our pricing models to enhance our risk segmentation. You will also work alongside a combination of actuaries, data architects, and other data scientists. You'll leverage modern statistical techniques to build on our pricing capabilities and more accurately segment our portfolio of risk. If you are an analytical thinker, tech savvy, and have great communication skills, this position could be a great fit for you!


*This position is a 100% U.S. based remote opportunity that can be based in one of the following states AL, AZ, CT, DE, FL, GA, KY, LA, MA, MO, NC, NJ, NY, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.


Some travel for team meetings and training may be required. Unfortunately, we are unable to provide sponsorship at this time.


Key Responsibilities: (What you'll be asked to do)

  • Support the overall goal of underwriting profitability.
  • Provide actionable recommendations to improve rating plans and underwriting sophistication.
  • Develop novel features to enhance risk segmentation based on internal and external data sources.
  • Create pipelines for data processing so that research ideas can be rapidly iterated on and put into production.
  • Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions.
  • Develop and maintain models used in ratemaking and underwriting.
  • Evaluate new data sources for marginal impact.
  • Integrate batch and online model with business workflows.


The Successful Candidate: (what we're looking for)

  • You can communicate findings to key stakeholders and make recommendations to support decision-making.
  • You are motivated to independently discover beneficial knowledge and make recommendations rather than simply wait for direction.
  • You understand the importance for analyses/models to be actionable instead of merely academic.
  • You know your audience and the needs of the business.
  • You are readily able to identify basic data issues and “triangulate” across multiple sources of information.


Some Requirements:

  • Strong programming skills with experience using SQL, R, and Python.
  • Experience with predictive analysis and data visualization techniques using relevant tools such as Tableau and Dataiku.
  • Demonstrated experience building, validating, and applying statistical machine learning methods. For example, applying LightGBM to real-world problems.
  • Strong demonstrable knowledge of topics such as inferential statistics, machine learning, and numerical optimization.
  • Familiarity with Insurance business knowledge such as: economics of insurance, ratemaking and rating plans for both personal and commercial lines of insurance.


Education:

  • Master’s degree or 3+ years’ experience required in a related field such as: Data Governance, Data Quality, Data Management, or Data Analytics.


Computer Skills:

  • Must be proficient with MS Office and other internal insurance related programs, systems or applications.
  • Ability to communicate effectively using programs such as Slack & MS Teams. You are comfortable sharing screens and video chatting.


Other:

  • Reliable high-speed internet connectivity required.
  • Designated quiet work from home space.


We Have a Great Benefits Package!

  • 20 days of PTO annually
  • Medical, Dental, Vision
  • Short- and Long-Term Disability (Company Paid)
  • Life & AD&D (Company Paid)
  • Healthcare, Dependent Care and Transit FSA
  • 401K with a generous matching contribution and no vesting schedule


It is the policy of Swyfft to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.


Please Note: Swyfft is not accepting 3rd party agency resumes for this position, please do not forward resumes to our careers email address or Swyfft employees. Swyfft will not be responsible for any fees related to unsolicited resumes.

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