Senior AI Data Scientist – Agentic Process Development

🔥 13 hours ago

🌐 Greece, Italy, +3 more countries – Remote

🇬🇷 Greece – Remote 🇮🇹 Italy – Remote 🇪🇸 Spain – Remote 🇩🇪 Germany – Remote 🇧🇪 Belgium – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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team.blue

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.

📋 Description

• Map HR processes end to end across multiple countries and quantify FTE cost per step • Facilitate workshops with Talent, Rewards, and HR Ops leaders to score automation candidates • Extract requirements from senior non-technical stakeholders • Design state transitions, triggers, branches, system calls, waits, escalations, and failure handling • Build guardrails including dry-run mode, approval gates, least-privilege credentials, and rollback paths • Decide where humans remain in the loop and establish confidence thresholds and usable review queues • Create evaluations for task completion, hallucination, and gendered or culturally biased language • Build webhook-based, idempotent agent integrations • Optimize model selection and routing based on cost and latency • Evaluate HR-tech vendors and their APIs, data models, extensibility, and integration costs • Learn HR-tech systems, HR-data governance, employment-law constraints, EU AI Act obligations, and organizational change management

🎯 Requirements

• 7+ years building data and ML systems in industry • Experience spanning both sides of the LLM shift • Experience shipping systems with permission to take irreversible actions affecting real customers • Expert in Python and ML • End-to-end production ownership, including readable Python, containerisation, and instrumentation • Current toolchain experience such as uv, Docker, or equivalent • Production experience with multi-step, tool-calling LLM workflows, including orchestration, retries, idempotency, timeouts, and partial-failure recovery • State-machine design experience • Cost and latency engineering, including model routing, caching, and batching • Safety practices including staging modes, approval gates, least-privilege scoping, and rollback • Evaluation design for generative and agentic output, including LLM-as-judge, golden-transcript regression suites, and red-teaming • Applied statistics • Process mapping and quantification • Ability to facilitate workshops with senior non-technical stakeholders • Executive-grade written business cases and cost modelling for Finance audiences • Technical vendor evaluation covering API surface, data model, extensibility, and integration cost • Proof of eligibility to work in the country applied for • Nice to have: Master's or PhD in Computer Science, AI, Machine Learning, or a related field • Nice to have: Existing EU AI Act / high-risk-AI-system familiarity • Nice to have: PromptOps at scale • Nice to have: DataOps/MLOps practice • Nice to have: Prior exposure to HRIS/HR-tech or automation in an audited or regulated domain • Relocation packages and visa sponsorship are not supported

🏖️ Benefits

• Diversity & Inclusion commitment • Respectful, open, and trusted collaboration culture • ESG and sustainability initiatives