Data Scientist (hours: 08:30 am - 2:30 pm Pacific Time)

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: 140 - 175 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! :)