Data Scientist

~160 - 190 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#472445·Dodano 2 dni temu·3

Źródło: justjoin.it

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Tech Stack / Keywords

OCI Data ScienceOracle Autonomous DatabasePL/SQLOCI Object StorageOCI Generative AILLM / RAGSQLOCI IAMOCI VaultOracle Machine Learning

Podsumowanie oferty

Build machine learning and statistical models and Generative AI agents for an insurance client. The project supports underwriting, actuarial analysis, and fraud detection, using Oracle Cloud Infrastructure (OCI).

Wymagania

3+ years of experience in statistics and machine learning.
Strong PL/SQL skills and hands-on experience 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 monitoring models for drift and performance.
Experience working with Autonomous Database and Object Storage from Data Science, and understanding 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 numerical questions from model memory.
Solid understanding of retrieval fundamentals: chunking, embeddings, and retrieval quality evaluation.
Solid understanding of guardrails and traceability: 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:

Experience with 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, including underwriting, actuarial, and 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 GenAI agents with RAG over insurance documentation and governed data access through SQL.
Build and evaluate the vector search layer behind the agents.
Implement guardrails and traceability for GenAI solutions.
Ensure security and isolation of client data in a multi-tenant setup.

Benefity

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

Karta sportowa

Opieka zdrowotna

Spotkania integracyjne

Szkolenia wewnętrzne

Pretius

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