Data Scientist

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MidZdalnie·WarsawFull-time

#472395·Dodano wczoraj·5

Źródło: Pretius

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Tech Stack / Keywords

OCIPL/SQLAutonomous DatabaseOCI Data ScienceRAGOCI Generative AISQLOracle AI Vector SearchOpenSearchSpark

Podsumowanie oferty

Build machine learning and statistical models and Generative AI agents for an insurance client, supporting underwriting, actuarial analysis and fraud detection. The project runs on Oracle Cloud Infrastructure (OCI) and combines model lifecycle work with RAG agents and vector search.

Wymagania

3+ years of experience in statistics and machine learning.
Strong PL/SQL skills and hands-on work with Autonomous Database (ADW) on OCI.
Practical knowledge of OCI Data Science, including notebook sessions, Jobs, ML Pipelines, conda environments, Model Catalog (versioning and metadata) and Model Deployment.
Experience with model monitoring for drift and performance.
Experience working with Autonomous Database and Object Storage from Data Science, and a clear understanding of when to train in-database versus externally.
Experience scheduling and orchestrating batch scoring on daily-refreshed data.
Background in LLM- and RAG-based solutions, ideally on OCI Generative AI, including hosting or calling LLMs in governed agents.
Ability to build agents that query governed data through SQL and function-calling tools instead of answering numbers from model memory.
Solid grasp of retrieval fundamentals: chunking, embeddings and retrieval quality evaluation.
Solid grasp of guardrails and traceability, including prompt-injection controls, citations, trace logging of every tool call and answer, and human approval for consequential actions.
Good command of cloud security, including IAM policies, Vault, private networking, Logging and Monitoring.
Fluent English (minimum B2).

Nice to have:

Oracle Machine Learning (OML) and Select AI, including where Select AI fits and where it does not.
Familiarity with OCI Generative AI Agents, including agents, endpoints, sessions and knowledge bases over documents such as policy wordings, underwriting guidelines, actuarial memos and FWA investigation playbooks.
Exposure to Oracle AI Vector Search or OpenSearch.
Exposure to OCI Data Flow (Spark).
Insurance domain knowledge in underwriting, actuarial work or FWA.
Background in multi-tenant solutions that keep client data and models isolated.

Obowiązki

Build machine learning and statistical models, such as risk scoring and fraud detection, for insurance clients on OCI.
Prepare data and manage the model lifecycle, including training, batch scoring, deployment and drift monitoring.
Run daily batch scoring and large-scale data processing.
Design Generative AI agents with RAG over insurance documentation and governed access to data through SQL.
Build and evaluate the vector search layer behind the agents.
Implement guardrails and traceability for Generative AI solutions.
Ensure security and isolation of client data in a multi-tenant setup.

Benefity

Co-financing of the Multisport card and Medicover private healthcare.
Modern office available.
Team bonding activities, internal courses, conferences and certifications.

Karta sportowa

Opieka zdrowotna

Spotkania integracyjne

Szkolenia wewnętrzne

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