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! 🙂
