Data Scientist GenAI Job at Prima (Milan)

Data Scientist GenAI

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Bordeaux; Paris

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

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

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

Data Scientist GenAI

You’ll join our Data Science team, where your main mission will be to prototype,...

Location

France , Paris or Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

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

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

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

Lead Data Scientist – GenAI & Traditional AI

Lead end-to-end AI experimentation and delivery across multiple parallel initiat...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

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

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

Senior Data Scientist – GenAI & Traditional AI

We are seeking a Senior Data Scientist with strong hands-on experience across Tr...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

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

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

Senior Data Scientist GenAI

Are you looking for a new challenge? Fancy helping us shape the future of motor ...

Location

Italy , Milan

Salary:

Not provided

Prima

Expiration Date

Until further notice

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

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

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

Data Scientist Senior - GenAI Solutions

The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skil...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

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

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

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Data Scientist GenAI

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