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  • LocationRemote
  • SalaryCompetitive rates
  • Job TypePermanent
  • ReferenceYAS001
  • Date posted31-May-24

Job Title: Senior Data Scientist



Location: Remote (must be able to work during core collaboration hours: 8:30 am - 2:30 pm Pacific Time)

Contract type: B2B



Company Overview:

Join a rapidly growing, innovative insurance analytics firm dedicated to revolutionizing underwriting methods, pricing frameworks, risk evaluations, and customer experience initiatives through data-driven strategies. The company partners with top-tier insurance companies to provide cutting-edge solutions and drive significant improvements in their operations and decision-making processes. Looking for a Senior Data Scientist passionate about leveraging advanced analytics and machine learning to drive business value.


Key Responsibilities:

  • Lead the creation and execution of data-driven strategies to enhance underwriting methods, pricing frameworks, risk evaluations, and customer experience initiatives.
  • Analyze extensive and intricate datasets to uncover patterns, trends, and potential risk factors that align with the company's products or may affect clients' loss ratios.
  • Develop and implement statistical models and predictive analytics to improve the precision and efficiency of insurance risk evaluations and pricing decisions.
  • Collaborate with multidisciplinary teams, including actuaries, underwriters, data and infrastructure engineers, and IT experts, to advance data-focused projects and promote AI-enhanced, data-informed decision-making.
  • Develop and implement machine learning algorithms and AI techniques to automate and refine processes such as prospect identification, policy review and evaluation, claims processing, and presentation of client insights.
  • Provide guidance and mentorship to analysts and data engineers, encouraging knowledge sharing and professional growth within the team.
  • Educate and mentor leaders and colleagues from other departments on the applications of ML/AI technologies in their fields.
  • Stay abreast of industry trends, new technologies, and best practices in data science and insurance analytics to foster ongoing improvement and innovation.


Technical Requirements:

  • Higher degree in Data Science, Statistics, Computer Science, or related fields.
  • Fluent in English.
  • Minimum of 6 years of experience as a Data Scientist, preferably in the insurance industry.
  • Expertise in statistical modeling, predictive analytics, machine learning, and data mining techniques.
  • Proficiency in Python with experience in data manipulation and visualization libraries.
  • Experience with large-scale data processing frameworks and databases (Snowflake, SQL, Vector DBs, Knowledge Graphs).
  • Advanced problem-solving skills, with the ability to analyze complex datasets and derive meaningful insights.
  • Strong communication and collaboration abilities.
  • Ability to present ideas/solutions to both technical and non-technical stakeholders.
  • Leadership qualities and the ability to guide and mentor junior team members and senior stakeholders.


Preferred Qualifications:

  • Passion for early-stage startups and/or high-growth environments.
  • Background in insurance.


Required Technical Skills:

  • Python
  • Snowflake
  • SQL
  • Vector DBs
  • PostgreSQL
  • AWS
  • Airflow
  • Kafka


Why Join Us:

  • Be part of a forward-thinking company driving innovation in the insurance industry.
  • Collaborate with a talented and dedicated team.
  • Work in a flexible and supportive remote environment.
  • Contribute to meaningful projects that have a real impact on the business and clients.


How to Apply:

If you are a highly skilled Data Scientist with a passion for innovation and a track record of driving business value through advanced analytics, we would love to hear from you.

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Customer Reviews

Net Promoter Score



NetPromoter Score


10 out of 10. Danielle has been a pleasure to work with thus far, excellent communication, and very helpful in scheduling time with distributed team members.


NetPromoter Score


Unfortunately, position I applied has been filled out before my interview with client. However, I would definietely recomend (10) Vertex to others.


NetPromoter Score


- Felt professionally represented for roles we pursued - Relevant opportunities presented in light of discussions we had and my expectations

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