Data Scientist - Agentic Job at Mirakl (Paris)

Data Scientist - Agentic

The eCommerce landscape is entering a new phase of profound change: Agentic Comm...

Location

France , Paris or Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

Minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with strong Software Engineering skills
Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
Production deployment expertise - you've shipped AI solutions in production
Strong proficiency in Python
Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
Strong communication skills in both English and French

Job Responsibility

Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG)
Own the full lifecycle from initial design through MVP delivery and successive iterations
Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

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

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

Senior Data Scientist - Agentic GenAI

Location

India , Bengaluru

Salary:

Not provided

Cigres

Expiration Date

Until further notice

Requirements

Strong general data science background (statistics, ML, genAI)
Proven expertise in generative AI and agentic AI, in particular genAI multi agentic architecture and tools managements (MCP servers)
Proven expertise in Langchain ecosystem: langgraph, langgraph, langsmith
Proven expertise in genAI application performance estimation : offline / online evaluation + genAI application KPI
Python/Git/CI-CD development good practices
Cloud (Azure and AWS) tech stack
Very good knowledge of Agile development practices
Very good communication skills, pragmatism, and rigor

Job Responsibility

specification, design, implementation, test, validation, and industrialization of Artificial Intelligence component to be incorporated in internal systems, products, systems and solutions
involvement in all the development phases: from technical risk exploration to operational deployment

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

Data Engineer / Data Scientist

Location

Salary:

Not provided

Serokell

Expiration Date

Until further notice

Requirements

2+ years of experience in data engineering, data science, or a closely related field.
Proficiency in Python (Pandas, NumPy, or similar libraries)
ability to read and ideally write TypeScript.
Experience designing and working with relational databases (PostgreSQL) and time-series databases (InfluxDB or similar, such as TimescaleDB or ClickHouse).
Experience building and maintaining REST APIs (data aggregation and serving layer).
Familiarity with simulation systems, agent-based modeling, or scenario generation pipelines.

Job Responsibility

Own design and development of core data components within a complex distributed system, including defining data models, processing pipelines, and data flow between system parts.
Collaborate with backend engineers to maintain backend services that aggregate, transform, and expose data through well-structured APIs for other services.
Work with autonomous system components and their orchestration, ensuring reliable execution and data exchange.

What we offer

Competitive salary.
Attractive international projects.
Participation in leading world conferences.
International teams and a multicultural environment.
Fully remote work and flexible working hours.
Flexible time off whenever you need it.
Investment in your professional and career growth, corresponding to wage growth.
Mentoring and training.
Opportunity to contribute to one of the functional programming industry’s leading blogs.
Therapy sessions to support your well-being.

Ic8 Data Scientist, Product Analytics - Cp New Revenue Bets

We're looking for a experienced Data Scientist who can serve as a product analyt...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

Select Country

Data Scientist - Agentic

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