Senior Data Scientist in Tech ask

Our company is looking for Senior Data Scientist 

Must requirements: 

• Higher degree in Data Science, Statistics, Computer Science etc.
• Fluent English
• Minimum 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 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, with the ability to analyze complex datasets and derive meaningful insights
• 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 more senior stakeholders and peers

Responsibilities: 

• Lead the creation and execution of data-driven strategies to improve our underwriting methods, pricing frameworks, risk evaluations, and customer experience initiatives.
• Examine our datasets to uncover patterns, trends, and potential risk factors for clients that align with our products or may affect our loss ratios.
• Utilize statistical modeling and predictive analytics to develop models that improve the precision and efficiency of insurance risk evaluations and pricing decisions.
• Work alongside multidisciplinary teams, including actuaries, underwriters, data and infrastructure engineers, and IT experts, to advance data-focused projects and cultivate a culture of AI-enhanced, data-informed decision-making.
• Develop and implement machine learning algorithms and artificial intelligence techniques to automate and refine processes such as prospect identification, policy review and evaluation, claims processing, and presentation of client insights.

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

Send us your CV!