Data Scientist hours: 08:30 am

2 tygodni temu

Poznań, Greater Poland Crestt Pełny etat

Hello

We are seeking a highly skilled Senior Data Scientist to drive applied AI/ML strategy, optimizing commercial lines insurance operations. This role is crucial in leveraging data to enhance underwriting methods, pricing frameworks, risk evaluations, and customer experience initiatives.

Location: 100% remote (Anywhere, must be able to work 8:30 am - 2:30 pm Pacific Time)

Rate: b2b: PLN netto plus VAT / h

Main Responsibilities:

  • Lead data-driven strategies to enhance underwriting, pricing, risk evaluation, and customer initiatives.
  • Analyze extensive datasets to uncover patterns, trends, and potential risks.
  • Develop statistical models and predictive analytics for precise insurance risk evaluations and pricing decisions.
  • Collaborate with actuaries, underwriters, data engineers, and IT experts to advance data-focused projects.
  • Implement machine learning algorithms to automate and refine processes like prospect identification, policy review, claims processing, and client insights presentation.
  • Mentor and guide junior team members and other stakeholders.
  • Educate leaders and colleagues on ML/AI applications in their fields.
  • Stay updated with industry trends, new technologies, and best practices in data science and insurance analytics.

Technical Requirements:

Must Have:

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

Nice to Have:

  • Passion for early-stage startups or high-growth environments.
  • A background in insurance.

Required Technical Skills:

  • Data Science
  • Machine Learning
  • Python
  • Snowflake
  • SQL
  • Vector
  • PostgreSQL
  • AWS
  • Airflow
  • Kafka

General Project Tech Stack:

  • Backend: TypeScript, Python, Prisma, NestJs, Ruby on Rails, SQL, Terraform, Spark
  • Frontend: React, GraphQL, Swagger
  • Databases & Data Processing: PostgreSQL, Snowflake, Airflow, DBT, Mode, Stitch
  • Testing: Jest, Vitest, Playwright, RSpec
  • CI/CD & Deployment: CircleCI, Nomad, Docker, Docker Compose
  • Monitoring & Logging: LogRocket, Datadog, Rollbar, LaunchDarkly, AWS CloudWatch
  • Cloud & Infrastructure: AWS (Lambdas, SQS, ECS, IAM), Kafka, Okta, AWS Athena (Nice to have)
  • Collaboration & Design: GitHub, Figma, Atlassian Stack (Jira, Confluence, OpsGenie)
  • AI & Machine Learning: OpenAI, Llama

If you are passionate about data science and have the skills and experience to excel in this role, we encourage you to apply. Join us and play a critical role in shaping the future of our AI/ML strategy in the insurance industry.

Apply Now :)


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