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Intern-level data science role at Sberbank (ПАО Сбербанк) within its Data/ML/Analytics area: the person works as a Data Scientist focused on LLM research and quantitative risk modeling, applying machine learning to quant-risk tasks.
Staff-level Data Scientist at Swiggy (Bengaluru) who architecturally leads AI systems for Search, Recommendations, Ads and Discount Optimization on the food delivery platform. The role demands deep ML/DL and GenAI/LLM expertise (transformers, ranking, RAG, bandits/RL), strong system design for low-latency production ML, and mentoring of senior scientists/engineers, with 8-12 years of experience.
Data Science Manager at Creditplus Bank in Stuttgart focused on process automation: analyzing business processes, identifying data-driven optimization potential, and building ML/AI/LLM-based solutions end to end—from use case and business case to production. Works at the intersection of business and IT using Python, modern data platforms, and cloud technologies.
Senior ML engineering role designing, deploying, and operating production machine learning, Generative AI, and AI agent solutions on Databricks and Azure Kubernetes Service. Day to day involves MLOps (CI/CD, monitoring, governance), Python/SQL API and microservice development with Docker/Kubernetes, and moving data science prototypes into scalable production platforms.
A hands-on Data Scientist role on the Ireland Product team of an international technology organisation, working across statistical modelling, machine learning, and data engineering to turn large datasets into production-ready solutions. Day to day involves building ML models and data pipelines while collaborating with product, engineering, and customer-facing teams.
A Data Scientist supporting an Australian Federal Government project, applying Python, NLP, machine learning, and generative AI to extract and classify data and design scalable analytical solutions alongside technical and policy experts.
Lead the Data Science function at Quicklizard, a B2B SaaS company, managing and mentoring a global team while driving machine learning, optimization, and forecasting solutions. The role blends hands-on problem-solving with strategy, cross-functional collaboration, and shaping the company's AI roadmap for retail revenue optimization.
Lead AI Engineer who develops advanced generative AI and data science solutions while leading a multidisciplinary team. Day-to-day work centers on Python-based machine learning development using frameworks like TensorFlow or PyTorch.
METRICA ESPAÑA, ubicada en Barcelona, busca un Científico/a de Datos con experiencia en ML y NLP para diseñar, entrenar y validar modelos y llevarlos a producción. ¿Tiene las cualificaciones y habilidades adecuadas…
GFT Technologies España busca un/a AI Engineer (Generative AI & Data Science Solutions) para unirse a su Center of Excellence AI.DA en Madrid. Las cualificaciones, habilidades y toda la experiencia relevante…
Capitole is hiring a Senior Data Scientist / ML Engineer to join an international data team, owning the full model lifecycle from data analysis and experimentation through deployment and production monitoring while collaborating with technical and business stakeholders. Requires 4+ years of experience with Python, SQL, and skills in classic ML, forecasting, and deployment.
Keysight Technologies is seeking an Applied Data Scientist to design scalable data architectures, develop data pipelines, and build high‑quality ML models that integrate simulation and measurement data from diverse…
Senior Data Scientist / ML Engineer at Capitole in Valencia, joining an international data team to build AI-driven predictive solutions end to end — from analysis through production monitoring. Core stack: Python, SQL, classical ML, Docker and MLflow.
Desde IT Partner España buscamos incorporar un/a Data Scientist / Machine Learning Engineer para participar en proyectos de analítica avanzada y machine learning dentro de un entorno tecnológico y de negocio. Lea el…
Ayesa Digital seeks a Data Scientist / ML Engineer to work across the full data lifecycle — designing, training and deploying machine learning models in production environments. Core stack: advanced Python and SQL plus PySpark, TensorFlow or PyTorch, with data pipelines, MLflow and distributed processing experience valued.
Senior engineer on the Advanced Analytics & AI team in Madrid (Tres Cantos) designing, developing, and deploying scalable machine learning and Generative AI solutions on Azure. Day-to-day work centers on Python, MLOps practices, and building ML pipelines; the role is on-site and paid €285–304 per day.
¿Cuáles serán tus responsabilidades? Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto. - Diseñar, construir y escalar…
Nunegal te invita a dar el siguiente paso como Data Scientist / MLOps Engineer en un entorno tecnológico en expansión. Desplácese hacia abajo para obtener una visión general completa de lo que requerirá este trabajo.…
Data Science / ML professional at Abi Global Health's AI Lab, developing AI-based features and ensuring model robustness, scalability, and integration into a fast-growing global healthcare platform, with mentoring of junior teammates. Work can be done remotely or from the Barcelona office.
A Senior Data Science Researcher at insurtech Honeycomb joins the AI team behind underwriting, quote-time risk scoring, and portfolio analytics, owning open-ended research directions in risk, catastrophe/environmental, and behavioral modeling from problem framing to production deployment. Requires strong quantitative/mathematical research background (MSc/PhD) plus production ML experience.
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