Data Scientist (Agentic AI) Job at Levy Professionals (Amsterdam)

Data Scientist – Agentic AI

At Satalia, a WPP company, we push the boundaries of data science, optimisation ...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Educational background in Computer Science, Data Science, or similar
Professional experience in Data Science, AI/ML Engineering, Software Engineering, or related technical roles
High proficiency in Python and working knowledge of SQL
Experience building API services using FastAPI, Flask or similar
Experience with containerisation, cloud platforms and CI/CD
Experience with AgenticOps best practices, including evaluation, observability, safety guardrails, security, performance optimisation
Experience designing and building complex multi-agent systems using at least one of the major agent frameworks (e.g. ADK, AutoGen, LangGraph)
Understanding of agent memory and state management patterns
Familiarity with MCP servers
Quality-first, test-driven mindset with focus on automated testing

Job Responsibility

Design and deliver production-grade agentic systems, from multi-agent orchestration to the AI services and models that power them
Assess fit of agentic solutions per use case, being intentional in system design
Design the most suitable orchestration pattern per use case
Evaluate and recommend the best suited agent development framework
Engineer multi-step agent workflows that are reliable, auditable and modular, supporting both linear and non-linear control flows
Implement agent memory and state management systems
Optimise context assembly for each agent interaction
Evaluate and select the most appropriate foundation models, embeddings and context-specific model variants
apply fine-tuning or adaptation where needed
Implement guardrails to ensure operation within ethical, legal, brand boundaries

What we offer

enhanced pension
life assurance
income protection
private healthcare
Remote working
Truly flexible working hours
27 days holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects
People oriented culture

Fulltime

Data Scientist – Agentic AI

We are at a generational moment for technology and AI. The shift from single-mod...

Location

Greece

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Educational background in Computer Science, Data Science, or similar
Professional experience in Data Science, AI/ML Engineering, Software Engineering, or related technical roles
High proficiency in Python and working knowledge of SQL
Experience building API services using FastAPI, Flask or similar
Experience with containerisation, cloud platforms and CI/CD
Experience with AgenticOps best practices, including evaluation, observability, safety guardrails, security, performance optimisation
Experience designing and building complex multi-agent systems using at least one of the major agent frameworks (e.g. ADK, AutoGen, LangGraph)
Understanding of agent memory and state management patterns
Familiarity with MCP servers
Quality-first, test-driven mindset with focus on automated testing

Job Responsibility

Design and deliver production-grade agentic systems, from multi-agent orchestration to the AI services and models that power them
Assess fit of agentic solutions per use case, being intentional in system design
Design the most suitable orchestration pattern per use case
Evaluate and recommend the best suited agent development framework
Engineer multi-step agent workflows that are reliable, auditable and modular, supporting both linear and non-linear control flows
Implement agent memory and state management systems
Optimise context assembly for each agent interaction
Evaluate and select the most appropriate foundation models, embeddings and context-specific model variants
apply fine-tuning or adaptation where needed
Implement guardrails to ensure operation within ethical, legal, brand boundaries

What we offer

enhanced pension
life assurance
income protection
private healthcare
Remote working
Truly flexible working hours
Generous Leave - holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority

Fulltime

Data Scientist- Marketing Agentic AI

Location

Australia , Sydney/ Melbourne

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Agentic Orchestration: Expert-level experience with LangGraph, LangChain, ADK, or PydanticAI. Proficiency in CoT, ReAct, Tree of Thoughts, and Multi-Agent handoffs
Multi-Modal Expertise: Hands-on experience with long-context RAG, fine-tuning, and audio/video generative models
Engineering Excellence: Expert Python and SQL skills
clean code advocate. Experience with React (prototyping) and PyTest/CI-CD (DevOps)
Modern AI Stack: Familiarity with AI-assisted development (Claude Code, Gemini Copilot) and vector databases (GCP Vector Search, Qdrant)
Solution Architecture: Ability to frame 'big picture' business problems into viable technical roadmaps
Foundational Data Science: Deep understanding of embeddings, non-deterministic output interpretation, and metrics (Gini, Precision/Recall vs. LLM-as-a-judge)
Stakeholder Leadership: High-level communication skills to translate complex logic into clear business recommendations
Proven Delivery: A portfolio of productionised systems (not just POCs or notebooks) deployed in cloud environments
Industry Context (Bonus): Background in Digital Marketing, AdTech, or E-commerce

Job Responsibility

Partner with the Group's marketing teams to accelerate and optimise campaign creation strategies through cutting-edge AI
Architect Agentic Systems: Design autonomous, cyclic loops and multi-step reasoning systems (moving beyond linear prompting) to automate marketing workflows
Deploy Multi-Modal Solutions: Scale GenAI applications across Text (Advanced RAG), Audio (STT/TTS), and Video (e.g., Veo) to enhance creative output
Production-Grade Engineering: Architect scalable solutions and manage the transition from initial concept to formal production release
Advanced Evaluation & Observability: Implement frameworks using LangFuse and custom metrics to track tool-calling accuracy, trajectory, and goal completion
Strategic Problem Framing: Bridge the gap between technical possibilities and commercial outcomes, identifying where Agentic systems add the most value
Collaborative Innovation: Integrate embeddings and vector databases into live systems in collaboration with Product and Engineering

What we offer

Team discounts across our range of Woolworths Group brands
robust rewards program
12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment
range of programs to help you prioritise and manage your wellbeing including 24/7 access to the Sonder app
progressive and competitive leave policy

Fulltime

Senior AI Scientist (Agentic AI)

We are on a lookout for a hands-on Senior AI Scientist (Agentic AI) to join the ...

Location

Germany , Berlin

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

2+ years of experience in applied AI/ML engineering with real-world deployments
Strong Python skills and experience with frameworks like LangChain, LlamaIndex, or Haystack
Deep knowledge of RAG, LLM mechanics, prompt design, and chaining
Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding models
You take ownership
You move fast but don't cut corners
You believe working code beats perfect plans

Job Responsibility

Architect and deploy agent-based systems using LangGraph, PydanticAI, LangChain, Google ADK, Claude SDK, or custom-built orchestration frameworks
Build and optimize RAG pipelines
Design self-evolving prompt systems and dynamic decision flows driven by LLMs
Develop APIs and services that let models talk to tools, data, and other systems
Monitor, evaluate, and automate model feedback loops using AI-based simulation and testing agents
Work cross-functionally with product and engineering teams to ship AI-native features

What we offer

Hybrid working model with 2 days per week in Berlin campus
27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to Udemy Business platform
Health Checkups
Meditation
Gym & Bicycle Subsidy
Employee Share Purchase Plan

Fulltime

Senior Data Scientist / AI Engineer

Navarro Research and Engineering is recruiting a Senior Data Scientist / AI Engi...

Location

United States

Salary:

Not provided

Navarro Inc

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field
5+ years of experience in data science, machine learning, AI engineering, or related fields
2+ years of experience deploying and operating production AI/ML systems
Strong knowledge of supervised and unsupervised learning techniques
Experience with model development, evaluation, and optimization
Statistical analysis and experimental design experience
Proficiency in Python and common ML frameworks
Experience deploying and operating open-source LLMs
Experience with Llama family models, Mistral models, Hugging Face models
Knowledge of RAG architectures, Agent frameworks, Prompt engineering, Model evaluation methodologies, Fine-tuning approaches

Job Responsibility

Design, build, train, evaluate, and deploy machine learning and generative AI solutions
Develop and maintain predictive analytics, NLP, computer vision, and LLM-based applications
Implement Retrieval-Augmented Generation (RAG), agentic workflows, and knowledge management solutions
Evaluate commercial, open-source, and custom AI models for mission-specific use cases
Deploy and operate local/open-source models in secure environments
Configure and optimize inference environments using GPUs and containerized deployments
Manage model serving platforms and inference frameworks
Implement monitoring, performance tuning, and lifecycle management for locally hosted models
Support disconnected, restricted, or air-gapped operational environments
Design and deploy AI solutions within Azure Government

What we offer

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k,)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation & Public Holidays)
Short Term & Long Term Disability

Fulltime

Senior Data Scientist, AI & Model Risk

It all started with an idea at Block in 2013. Initially built to take the pain o...

Location

United States , Bay Area

Salary:

139000.00 - 225000.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

A minimum of 5 years of related experience with a Bachelor’s degree in a quantitative field
or 3 years and a Master’s degree
or a PhD without experience
or equivalent work experience in risk management, model risk management, or AI risk management
Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs
Strong understanding of generative AI architectures
Including LLMs, transformer models, RAG systems, and agentic AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design decisions, output quality, and limitations
Understanding of interagency model risk management principles, including SR 26-2
Knowledge of AI testing methodologies, ex. functional testing, bias testing, adversarial testing, and performance monitoring plus familiarity with data privacy and security principles (encryption, access controls, data classification)
Excellent written and verbal communication and the ability to translate complex technical AI concepts for non-technical stakeholders, senior management, and regulators

Job Responsibility

Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank
Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed within SLA
Review AI system design and documentation
Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures — across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with each use case's risk profile
Assess pre-deployment testing for adequacy inclusive of output integrity, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT — designing and conducting independent testing as needed
Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, drift detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures
Develop and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program
Monitor the evolving regulatory landscape for AI in banking — including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 — and incorporate emerging guidance into the AI risk governance program
support SFS's response to regulatory inquiries as needed

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Senior Data Scientist - Agentic Systems

The Global Marketing Engines and Experiences (E&E) team within Microsoft is resp...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience

Job Responsibility

AI-Native Operations
Design, build, and ship agentic capabilities that make the analytics team more AI-native, including co-PM agents that triage incoming work, monitor data science workstreams in Azure DevOps, and propose ticket updates that keep our backlog accurate without manual hygiene effort
Build PM-layer agents that read across the Azure Dev Ops (ADO) portfolio to surface risk, estimate effort on new requests, and recommend project plans that managers can adapt rather than write from scratch
Establish shared infrastructure and patterns — prompting, evaluation, orchestration, observability, guardrails — that let the rest of the team build downstream agents reliably
Analyst Delivery Acceleration
Develop LLM-powered internal tools and skills that compress the cycle from analytics request to delivered insight, including capabilities that draft, format, and pressure-test the standard inputs analysts produce for MBR, MMR, and leadership review rhythms
Identify the highest-friction parts of the analyst delivery flow and design generative AI interventions that remove rather than relocate the work
Partner with the analytics team to instrument adoption, measure time saved, and iterate based on real usage rather than projected value
Marketer-Facing Capabilities
Lead the design and delivery of marketer-facing generative AI capabilities, anchored by a conversational analytics agent that allows marketers across Brand, Product Marketing Management (PMM), Customer Insights, and demand generation to self-serve on the analytics questions they bring to the team today

What we offer

Eligible for benefits and other compensation

Fulltime

Senior Data Scientist, AI & Model Risk

It all started with an idea at Block in 2013. Initially built to take the pain o...

Location

United States , New York

Salary:

139000.00 - 225000.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

A minimum of 5 years of related experience with a Bachelor’s degree in a quantitative field
or 3 years and a Master’s degree
or a PhD without experience
or equivalent work experience in risk management, model risk management, or AI risk management
Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs
Strong understanding of generative AI architectures
Including LLMs, transformer models, RAG systems, and agentic AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design decisions, output quality, and limitations
Understanding of interagency model risk management principles, including SR 26-2
Knowledge of AI testing methodologies, ex. functional testing, bias testing, adversarial testing, and performance monitoring plus familiarity with data privacy and security principles (encryption, access controls, data classification)
Excellent written and verbal communication and the ability to translate complex technical AI concepts for non-technical stakeholders, senior management, and regulators

Job Responsibility

Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank
Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed within SLA
Review AI system design and documentation
Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures — across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with each use case's risk profile
Assess pre-deployment testing for adequacy inclusive of output integrity, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT — designing and conducting independent testing as needed
Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, drift detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures
Develop and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program
Monitor the evolving regulatory landscape for AI in banking — including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 — and incorporate emerging guidance into the AI risk governance program
support SFS's response to regulatory inquiries as needed

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

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Data Scientist (Agentic AI)

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