CrawlJobs Logo
Levy Professionals Logo Levy Professionals · IT - Software Development

Data Scientist GENAI

Netherlands, Utrecht · Job Posted July 04, 2026
Apply Position
Job Link Share

Job Description

Our clients Agentic AI Centre of Excellence (CoE) is a small, high-impact team that is defining how one of Europe’s largest banks can safely put AI agents to work at scale. We operate at the frontier of what’s technically possible in a regulated financial environment, which means we constantly balance the tension between moving fast and meeting real institutional constraints. We’re looking for data scientists and engineers who combine technical excellence with adaptability, collaboration and a strong sense of ownership. These qualities are key to making our cultural shift real and impactful.

Job Responsibility

  • Design and implement scalable GenAI solutions using Azure services (e.g., Azure OpenAI, Azure ML, AKS, Azure Functions, API Gateway) and moving to portability and cloud-agnostic, resilience etc over time
  • Develop and maintain CI/CD pipelines using GitHub, Azure DevOps, Terraform, Bicep and Kong
  • Build Python-based microservices and automation tools to support ResGen/GenAI workflows, infrastructure provisioning and agent-based orchestration
  • Integrate and manage GenAI agents (e.g., LangChain, Semantic Kernel) to support complex multi-step workflows and decision-making processes
  • Ensure security, compliance and performance optimization across ResGen/GenAI workloads
  • Collaborate with Data Science, Product and Business teams to translate requirements into technical solutions
  • Collaborate on the design and deployment of AI workflows, including prompt engineering, chaining and memory management
  • Communicate technical concepts effectively to both technical and non-technical stakeholders
  • Act as a trusted advisor on GenAI strategy, infrastructure scalability and operational excellence

Requirements

  • Shipped at least one AI-powered product (ideally an agentic or multi-step AI system) that real users interacted with in production
  • 8+ years of strong hands-on development experience, fluency in Python, and strong Cloud and DevOps practices
  • Practical experience with agentic AI frameworks (LangGraph, Semantic Kernel, AutoGen or comparable)
  • Excellent communication and stakeholder management skills
  • Experience mentoring juniors or leading technical teams
  • Experience working in an Agile environment. Either SCRUM or Kanban
Levy Professionals - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Scientist GENAI

8 matching positions

Data Scientist GenAI

Are you looking for a new challenge? Fancy helping us shape the future of motor ...
Location
Location
Italy , Milan
Salary
Salary:
Not provided
prima.it Logo
Prima
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong academic background in quantitative fields such as Math, Physics, Data Science, or Engineering
  • All experience levels, including recent graduates with no prior working experience
  • Strong analytical and quantitative skills
  • Structured problem solving skills and being able to analyze and break down complex problems
  • Curiosity, proactivity, quick learning and an innovative mindset
Job Responsibility
Job Responsibility
  • Leverage Machine Learning and GenAI to solve complex business problems, making our processes better and faster
  • Analyze and interpret complex data to support decision-making
  • Contribute directly to Prima’s long-term success and financial impact through concrete solutions
What we offer
What we offer
  • Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year
  • Grow with us: Get access to learning resources, mentorship and a growth plan tailored to you
  • Thrive and perform: Enjoy private healthcare, gym discounts, wellbeing programs and mental health support
Read More
Arrow Right

Data Scientist GenAI

You’ll join our Data Science team, where your main mission will be to prototype,...
Location
Location
France , Bordeaux; Paris
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 4 years’ experience as a Data Scientist
  • Strong hands-on NLP and applied ML in industry
  • Experience deploying Machine Learning algorithms to production
  • Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
  • Knowledge of the latest LLMs is a plus
  • Fluent in Python and TensorFlow and/or PyTorch
  • Experience with Spark development
  • Pragmatic, data-driven, and business-oriented
  • Takes full ownership of topics, works autonomously, and is a great team player
  • Brings a positive mindset: respect and kindness are core values
Job Responsibility
Job Responsibility
  • Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
  • Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
  • Analyze and prepare data, prototype algorithms
  • Put algorithms into production with Data Engineers and dev teams
  • Build dashboards to demonstrate algorithm performance and monitor production
  • Present results at the weekly data science meeting and join team brainstorms
  • Partner with other teams to refine use cases, user experience, and integration paths
  • Fulltime
Read More
Arrow Right

Data Scientist GenAI

You’ll join our Data Science team, where your main mission will be to prototype,...
Location
Location
France , Paris or Bordeaux
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 4 years’ experience as a Data Scientist
  • Strong hands-on NLP and applied ML in industry
  • Experience deploying Machine Learning algorithms to production
  • Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
  • Fluent in Python and TensorFlow and/or PyTorch
  • Experience with Spark development
  • Pragmatic, data-driven, and business-oriented
  • Takes full ownership of topics, works autonomously, and is a great team player
  • Brings a positive mindset: respect and kindness are core values
  • Enjoys sharing work through internal talks, conferences, or writing
Job Responsibility
Job Responsibility
  • Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
  • Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
  • Analyze and prepare data, prototype algorithms
  • Put algorithms into production with Data Engineers and dev teams
  • Build dashboards to demonstrate algorithm performance and monitor production
  • Present results at the weekly data science meeting and join team brainstorms
  • Partner with other teams to refine use cases, user experience, and integration paths
What we offer
What we offer
  • Build algorithms that visibly impact 500+ e-commerce/marketplace sites in 40 countries
  • Work with cutting-edge techniques (multimodal models, LLM fine-tuning, etc.)
  • Real autonomy and ownership over your projects
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - GenAI & ML

CRU Group is seeking a technically strong, hands-on Senior Data Scientist to joi...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
crugroup.com Logo
CRU International
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar
  • Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy
  • 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field
  • Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring
  • Strong exposure to time-series forecasting or commodity data
  • Creative thinker with a robust approach to data and modelling
  • Hands-on experience working with machine learning and LLMs
  • Hands-on experience building AI applications beyond simple chatbot interfaces
  • Goal-oriented, with a high level of energy and enthusiasm
  • able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment
Job Responsibility
Job Responsibility
  • Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI
  • Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies
  • Develop robust, scalable, production-grade Python code
  • Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes
  • Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration
  • Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions
  • Mentor team members and contribute to raising standards for technical execution and delivery discipline
  • Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services
What we offer
What we offer
  • Competitive salary and flexible benefits package
  • Opportunities for professional growth and development as part of a global company
  • A collaborative and supportive work environment
  • The chance to work with industry-leading experts and over a diverse range of topics and projects
  • Fulltime
Read More
Arrow Right

Lead Data Scientist – GenAI & Traditional AI

Lead end-to-end AI experimentation and delivery across multiple parallel initiat...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of hands-on experience in AI/ML and data science experimentation with proven delivery outcomes
  • Demonstrated experience leading teams and guiding implementation of AI features end-to end
  • Strong experience working on multiple projects in parallel and handling competing priorities
  • Strong understanding of both proprietary and open-source model ecosystems and trade offs (cost, privacy, latency, deployment constraints)
  • Hands-on experience with RAG and agentic frameworks (design + implementation)
  • Ability to structure work into clear tasks, guide senior team members, and ensure high quality execution
  • Strong communication skills for client interactions, demos, and stakeholder alignment
Job Responsibility
Job Responsibility
  • Lead AI/ML solution design and implementation across multiple projects running in parallel
  • Break down complex AI use cases into well-defined tasks and milestones
  • guide Senior Data Scientists and cross-functional teams to successful delivery
  • Own experimentation strategy: dataset readiness, feature engineering, model selection, tuning, evaluation, and iteration loops
  • Ensure production-grade readiness: performance, reliability, scalability, cost-efficiency, and monitoring/observability requirements
  • Drive development of GenAI features using proprietary and open-source LLM ecosystems
  • Build and optimize RAG pipelines (chunking strategies, embeddings, retrieval, reranking, grounding, evaluation)
  • Design and implement agentic workflows using modern agent frameworks and tool integrations (planning, tool-use, multi-step execution, safety/guardrails)
  • Establish evaluation frameworks for GenAI quality (hallucination risk, faithfulness, relevance, latency, cost)
  • Lead classical ML initiatives including supervised/unsupervised learning, time series, NLP (non-LLM), recommendation, anomaly detection, etc., as applicable
  • Fulltime
Read More
Arrow Right

Senior Data Scientist – GenAI & Traditional AI

We are seeking a Senior Data Scientist with strong hands-on experience across Tr...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on experience in data science / machine learning with delivered outcomes
  • Practical experience in both Traditional ML (supervised/unsupervised methods, NLP, time series, recommendations, etc.) and GenAI (LLM-based features)
  • Hands-on experience building or contributing to RAG systems
  • familiarity with agentic frameworks is strongly preferred
  • Solid understanding of model evaluation, experimentation rigor, and iterative improvement cycles
  • Ability to independently own tasks within a project and deliver with minimal supervision
  • Experience mentoring or guiding junior team members through reviews and coaching
  • Strong communication and documentation skills
Job Responsibility
Job Responsibility
  • Execute end-to-end AI/ML experimentation for a single project: problem framing, dataset readiness, feature engineering, model training/tuning, evaluation, and iteration
  • Build and optimize GenAI pipelines using proprietary and open-source models depending on project needs
  • Contribute to LLM-driven feature development with working knowledge of model behavior, embeddings, prompting strategies, context management, and evaluation
  • Implement and improve RAG pipelines (document ingestion, chunking strategies, embeddings, retrieval, reranking, grounding, and evaluation)
  • Develop agentic workflows using modern agent frameworks and tool integrations (multi-step execution, tool use, safety/guardrails)
  • Assist in defining evaluation methods for GenAI (faithfulness, relevance, hallucination risk, latency, cost)
  • Work with engineering and MLOps teams to transition experiments into production-grade pipelines
  • Contribute to performance tuning, observability, and reliability of AI services (metrics, logging, monitoring, error analysis)
  • Ensure implementation follows best practices for maintainability, scalability, and cost efficiency
  • Guide and groom junior data scientists through structured mentorship: task planning, implementation reviews, and feedback
  • Fulltime
Read More
Arrow Right

Senior Data Scientist GenAI

Are you looking for a new challenge? Fancy helping us shape the future of motor ...
Location
Location
Italy , Milan
Salary
Salary:
Not provided
prima.it Logo
Prima
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience (3+ years) in data science or applied machine learning, leading end-to-end initiatives in complex technical domains and delivering measurable business impact through ML and GenAI solutions
  • Strong analytical and quantitative mindset able to translate data into insights, assess model performance, and guide decision-making with evidence and clarity
  • Structured problem solver skilled at framing ambiguous challenges, defining success metrics, and communicating results to both technical and non-technical audiences
  • Practical technical experience in coding (strong proficiency in Python and knowledge of coding best practices) and in ML/GenAI (experience with building ML models using frameworks such as scikit-learn and XGBoost, and familiarity with leveraging GenAI LLMs via APIs like OpenAI GPT or Gemini)
  • Curious and adaptive leader, proactive in exploring new methods, improving processes, and driving innovation in a fast-evolving environment
Job Responsibility
Job Responsibility
  • Lead the end-to-end development of ML & GenAI solutions to transform the operations journey, from problem framing and data exploration to production deployment, tackling business challenges with autonomy and scientific rigor
  • Set and uphold high technical standards across multiple AI initiatives, ensuring quality, scalability, and consistency
  • Mentor fellow DSs and accelerate team learning, providing structure in the way of working, and driving a culture of experimentation and continuous improvement
What we offer
What we offer
  • Work from home, the office or a mix of both
  • work from anywhere for up to 30 days a year
  • access to learning resources, mentorship and a growth plan tailored to you
  • private healthcare, gym discounts, wellbeing programs and mental health support
  • Fulltime
Read More
Arrow Right

Data Scientist Senior - GenAI Solutions

The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skil...
Location
Location
Italy , Milano
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience of at least 3-5 years as data scientist
  • Strong Python (mandatory) and SQL coding
  • Knowledge of Java/Scala or C++/R is a plus
  • Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions
  • Knowledge of ML solutions architecture and Generative AI pipelines
  • Cloud and hybrid ML implementations
  • Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue
  • Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment
  • Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction
  • Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings
Job Responsibility
Job Responsibility
  • Collaborate with data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from internal teams and external clients
  • Manage multiple projects simultaneously
  • Lead and coordinate the Data Scientists involved in the projects
  • Act as the main point of contact with client-side stakeholders
  • Ensure that project tasks are delivered on time and executed to a high standard
Read More
Arrow Right