Senior Data Scientist GenAI Job at Prima (Milan)

Senior Data Scientist - GenAI & ML

CRU Group is seeking a technically strong, hands-on Senior Data Scientist to joi...

Location

United Kingdom , London

Salary:

Not provided

CRU International

Expiration Date

Until further notice

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

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

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

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 – 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 - 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

Senior Associate, Data Scientist - US Card (Applied GenAI)

Senior Associate, Data Scientist - US Card (Applied GenAI). Data is at the cente...

Location

United States , McLean, Virginia; New York, New York

Salary:

135600.00 - 168900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Apply expertise in unstructured data (text, image) to harness the power of open source large language models (LLMs) and visual language models (VLMs)
Leverage a broad stack of technologies — LangGraph, LlamaIndex, Weights and Biases Weave, Hugging Face, PyTorch, AWS, and more — to automate workflows using huge volumes of text and vision data
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation
partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers
Assessing GenAI or LLM-Powered application architectures in production, including best practices for Generative AI development and deployments
Define requirements for AI observability, focusing on the traceability of autonomous decisions and comprehensive system audit trails
Evaluate the dynamic behavior of AI systems and oversee the development of key continuous monitoring controls and testing, ensuring that non-deterministic outputs and autonomous actions remain within risk appetite
Get into the weeds of internal business processes and data operations by guiding annotators to curate high quality, consistent datasets for model training, evaluation, and ongoing AI monitoring
Collaborate on a team of data scientists through all phases of project development, from design through training, evaluation, validation, implementation, and maintenance
Interact with a variety of internal stakeholders to ensure the alignment of data science solutions with business outcomes

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior GenAI Data VP – Market Data

Embark on a transformative journey as a Senior GenAI Data VP – Market Data at Ba...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Experience with design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks
Ability to manage strategy and integration of market data platforms (FactSet, LSEG, Bloomberg, S&P Capital IQ), ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases
Experience with designing and overseeing scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle
Ability to establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment
Stakeholder management skills to support business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions, defining best practices for evaluation metrics, MCP integration, and scalable data integration across GenAI systems

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award
competitive holiday allowance
private medical care
pension contribution

Fulltime