Ofertas de empleo para machine-learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Python R Big Data Machine Learning

Country: Spain

ES EL MOMENTO

Santander (www.santander.com) está evolucionando de ser una marca global de alto impacto a una organización impulsada por la tecnología, y las personas están en el centro de este camino. Juntos, estamos liderando una transformación centrada en el cliente que valora el pensamiento disruptivo, la valentía de desafiar lo posible y la capacidad de innovar.

Esto es más que un cambio estratégico: es una oportunidad para crecer, aprender y generar un impacto real.

Nuestra misión es contribuir a que más personas y empresas prosperen. Adoptamos una sólida cultura de riesgos y esperamos que todos nuestros equipos asuman un enfoque proactivo y responsable en la gestión del riesgo.

España está creando un nuevo equipo de metodología de riesgos, para lo que está buscando especialistas en desarrollo modelos de riesgos de crédito. Como especialista de modelos tu objetivo será la construcción de modelos de provisiones bajo normativa IFRS9 y modelos de stress test que cumplan tanto con los requerimientos regulatorios de los ejercicios propuestos por la European Banking Authority (EBA) como para análisis de gestión y proyecciones financieras ante escenarios macroeconómicos, climáticos, sectoriales o de gestión, así como de participar en la definición de nuevas metodologías, uso extensivo de datos en entornos big data, técnicas de modelización avanzada, colaborar en la coordinación de un equipo en crecimiento y velar por la integración en la gestión e impacto de dichos modelos.

EL IMPACTO QUE GENERARÁS

Santander España está buscando un Manager de Modelos para el equipo de Riesgos.

Estamos redefiniendo nuestra forma de trabajar a través de la innovación, la tecnología de última generación, la colaboración y la libertad de explorar nuevas ideas.

En este puesto, tus principales responsabilidades incluirán:

• Gestión de equipos tanto internos como de consultoría
• Modelizar parámetros de PD, LGD, EAD y prepagos bajo normativa IFRS9, adaptando los modelos vigentes a los cambios en el entorno actual, las políticas de gestión de crédito y de recuperaciones.
• Desarrollo de modelos de stress test bajo escenarios macroeconómicos, climáticos, análisis sectorial o de gestión.
• Profundizar en el conocimiento de las carteras para adecuar el cálculo de las pérdidas.
• Análisis para la inclusión de escenarios macroeconómicos en los modelos de IFRS9.
• Interpretación y aplicación de la normativa, regulación y estándares corporativos a las carteras de Santander España.
• Evaluación de impacto y coherencia para alineamiento de modelos IFRS9 con metodologías IRB.
• Conocimientos macroeconómicos y econométricos para su uso en modelos de stress test.
• Conocimientos de técnicas de modelización de riesgos climáticos: riesgo de transformación y físico.
• Uso de nuevas herramientas de trabajo para el desarrollo de los modelos: R, Python, técnicas de machine Learning y algoritmos avanzados.
• Soporte funcional de los temas más relevantes y revisión técnica a otros miembros del equipo/equipos de consultoría.
• Documentación funcional y técnica del proceso de estimación.
• Gestión y resolución de recomendaciones (AI, VI, AE).
• Soporte e interacción con las distintas áreas involucradas y reguladores.
• Reporte de resultados a la alta dirección.
  
  

LO QUE APORTARÁS AL EQUIPO

Nuestra gente es nuestra mayor fortaleza. Cada persona contribuye con perspectivas únicas que nos hacen más fuertes como equipo y como organización. Valoramos quiénes son y potenciamos lo que aportan.

Los siguientes requisitos representan los conocimientos, habilidades y competencias esenciales para este puesto.

Experiencia profesional

• 10 años de experiencia en puestos y funciones similares
  
  

Educación

• Licenciatura o grado en Ingeniería/Matemáticas/Estadística/Fisica/Economía
  
  

Idiomas

• Alto nivel de inglés
  
  

Habilidades técnicas (Hard skills)

• Conocimiento en modelización de parámetros de riesgo IRB/IFRS9/Stress Test.
• Conocimiento en normativa contable y/o prudencial.
• Programación en alguno de los lenguajes: SAS/R/Python.
  
  

VALORAMOS TU IMPACTO

Tu contribución importa, y la reconocemos. En Santander puedes esperar un paquete retributivo justo y competitivo que refleje tu impacto y el valor que entregarás. Toma un momento para entender a lo que nos referimos:

• Ofrecemos más que un salario: nuestros beneficios están diseñados para apoyar tu vida, tus objetivos y tu bienestar, hoy y en el futuro
• Tu salud es nuestra prioridad. A través de BeHealthy, nuestro programa global de bienestar, promovemos el bienestar integral de nuestros equipos
• Sabemos que la familia es lo más importante. Por eso ofrecemos apoyo en el cuidado de hijos y programas familiares adaptados a cada etapa de la vida
• Impulsamos a nuestros equipos a ir más allá mediante oportunidades de crecimiento, movilidad internacional y amplias trayectorias de carrera
• Creemos en el poder de ayudar: puedes dedicar parte de tu jornada laboral al voluntariado
  
  

Estamos aquí para mantener tu motivación, ayudarte a alcanzar tus metas y celebrar tus logros en cada paso del camino.

Santander se enorgullece de ser una organización que ofrece igualdad de oportunidades sin importar edad, género, discapacidad, estado civil, raza, religión u orientación sexual. Estamos comprometidos en ofrecer un proceso de selección inclusivo y accesible para todas las personas.

¿Y AHORA QUÉ?

Si todo lo que acabas de leer encaja contigo, aplica y únete a nuestro equipo.

¿Listo/a para dar el siguiente paso?

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 feb.

. Machine Learning

Biological sciences » Biological engineeringEngineering » Chemical engineeringOrganisation/Company CSIC Research Field Biological sciences » Biological engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Feb *********:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun **** Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA Marie Curie Grant Agreement Number ********* Is the Job related to staff position within a Research Infrastructure?

NoOffer DescriptionObjectives:1) Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator ), along with AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection.

• knowledge-graph-based combinatorial experiment designs are used to span multiple scales, while Multiobjective optimization strategies ensure improvements in efficiency across various biomanufacturing scales.Expected results:1) Development of innovative bio-based production methods tailored to meet specific target property requirements.
  
  

These methods will leverage new-to-nature metabolic pathways, ensuring the efficient production of food ingredients and proteins.

• A multi-scale strategy will be implemented to design and optimize these metabolic pathways, integrating insights from various biological scales.Where to applyE-mail ****** Field Technology » Biotechnology Education Level Master Degree or equivalentResearch Field Biological sciences » Biological engineering Education Level Master Degree or equivalentResearch Field Engineering » Chemical engineering Education Level Master Degree or equivalentSkills/QualificationsCandidates should hold a degree in biotechnology, synthetic biology, systems biology, applied mathematics (or a related subject area), interested in biomanufacturing in biofoundries, and have technical skills in computer programming and basic knowledge of mathematical models for systems and/or synthetic biology.
  
  

A secondment at the Technical University of Berlin, Germany, lasting a total of six months, is an integral part of the PhD program.Languages ENGLISH Level GoodAdditional Information- A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social sciences, as well as transferable skills- An enthusiastic team of professionals to co-operate with- Personal Career Development Plan (PDCP) to prepare young researchers for their future careers- Each DC will undergo individual training at individual institutes according to the PCDP description- An attractive compensation package in accordance with the MSCA-DN programme regulations for doctoral candidates.

The exact salary will be confirmed and will be based on a living allowance of ****€/month (correction factor to be applied per country) + mobility allowance of 600€/month.

Additionally, researchers may also qualify for a family allowance of 660€/month, depending on the family situation.

Taxation and social (including pension) contribution deductions based on national and company regulations will apply.Eligibility criteria- Any nationality- Doctoral Candidate (DC): The applicant must not have been awarded a doctoral degree.

• Mobility rule: The DC must not have resided or carried out main activity (work, studies, etc.) in the country of their host organisation for more than 12 months* in the three years immediately prior to the date of selection in the same appointing international organisation.
• EXCLUDED: short stays such as holidays, compulsory national services such as mandatory military service and procedures for obtaining refugee status under the General Convention.
• Language: Applicants must demonstrate fluent reading, writing and speaking abilities in English (B2).
  
  

Selection processFrameBio (Multiscale Frameworks for BioSolutions) is a project funded by the European Union with a goal is to revolutionize biotechnology by developing comprehensive computational modules that simulate the microbial behavior of bioproducts and quantify/estimate their resource dependencies across various scales.

This PhD position is part of a unique multidisciplinary Doctoral Network (15 partners and 10 countries) that will collaborate and train 13 PhDs in genomics, metabolomics, fermentation, process optimization, data science, and sustainability assessments.

This project has received funding from the Horizon Europe, Marie Sklodowska-Curie Actions (MSCA) grant (Grant agreement ID: *********, ).

Additional commentsSupervisors teamThe Dynamics Biodesign Lab (DBDL), led by Dr. Pablo Carbonell, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors.

The lab combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals.The Computational Synthetic Biology group (CSBG), led by Dr. Irene Otero-Muras, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation, signaling and metabolic processes.

The research aims to advance fundamental understanding and address innovative applications for systems and synthetic biology .

The Biotechnology of Industrial Yeasts Laboratory of I2SysBio, led by Dr. Agustín Aranda, deals with the use of different species of yeast of biotechnological interest, mainly Saccharomyces cerevisiae during winemaking.

We are focused in regulatory systems as stress response (mainly oxidative) and nutrient signaling pathways, and we use genetic manipulation to characterize such mechanisms in conditions that mimic industrial environments .

The Spanish National Research Council (CSIC)is the largest public research organisation in Spain and one of the most important in the European Research Area (ERA).

It is the main player in the Spanish Science, Technology, and Innovation System and is currently made up of over 13,200 people.

These individuals are distributed between the CSIC Corporate Organization, 121 research institutes, and three national centres located throughout Spain, as well as an institute in Rome.

The CSIC conducts research in three core areas: Society, Life, and Material, which cover most academic disciplines.

In March ****, the CSIC was among the institutions awarded the 'HR Excellence in Research Award'.

The DC will be enrolled in the "Institute for Integrative Systems Biology .

The DC will be enrolled in the Science and Technology Programme, Biosciences area, offered by the Menendez Pelayo International University.

#J-*****-Ljbffr

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 feb.

. Java Python C++ Machine Learning

Description

Are you interested in building the measurement foundation that proves whether targeted, cohort-based marketing actually changes customer behavior at Amazon scale?

We are seeking an Applied Scientist to own measurement and experimentation for our Lifecycle Marketing Experimentation roadmap within the PRIMAS (Prime & Marketing Analytics and Science) team. In this role, you will design and execute rigorous experiments that measure the effectiveness of audience-based marketing campaigns across multiple channels, providing the evidence that guides marketing strategy and investment decisions.

This is a high-impact role where you will build measurement frameworks from scratch, design experiments that isolate causal effects, and establish the experimental standards for lifecycle marketing across EU. You will work closely with business leaders and the senior science lead to answer critical questions: does targeting specific cohorts (Bargain hunters, Young adults) improve efficiency vs. broad campaigns? Which creative strategies drive behavior change? How should we optimize marketing spend across channels?

Key job responsibilities

Measurement & Experimentation Ownership

• Own measurement end-to-end for lifecycle marketing campaigns – design experiments (RCTs, geo-tests, audience holdouts) that measure campaign effectiveness across marketing channels
• Build measurement frameworks and experimental best practices that work across different activation platforms and can scale to multiple campaigns
• Establish experimental standards and tooling for lifecycle marketing, ensuring statistical rigor while balancing business constraints
  
  

Causal Inference & Analysis

• Apply causal inference methods to measure incremental impact of marketing campaigns vs. counterfactual
• Navigate measurement challenges across different platforms (Meta attribution, LiveRamp, clean rooms, onsite tracking)
• Analyze experiment results and provide optimization recommendations based on statistical evidence
• Establish guardrails and success criteria for campaign evaluation
  
  

About The Team

The PRIMAS team, is part of a larger tech tech team of 100+ people called WIMSI (WW Integrated Marketing Systems and Intelligence). WIMSI core mission is to accelerate marketing technology capabilities that enable de-averaged customer experiences across the marketing funnel: awareness, consideration, and conversion.

Basic Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience building machine learning models or developing algorithms for business application
• Experience with programming languages such as Python, Java, C++
  
  

Preferred Qualifications

• Experience in professional software development
• Experience in designing experiments and statistical analysis of results
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - Amazon Spain Services, S.L.U.

Job ID: A3147267

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 feb.

. Python TSQL Azure Scala Spark Machine Learning Power BI

Mision

En el equipo Implementararás soluciones de analítica avanzada mediante técnicas y algoritmos de Machine Learning, Deep Learning, IA Generativa, entre otros. Utiliza tanto algoritmos clásicos de Data Science como soluciones basadas en Large Language Models (LLMs) y IA Agéntica, adaptando las tecnologías emergentes a los problemas específicos. Posee amplios conocimientos técnicos en Data Science, con orientación clara a negocio, innovación y capacidad de testar y adaptar nuevas tecnologías de IA en el mercado.

Principales Actividades / Responsabilidades

• Diseño de soluciones: Recoger requisitos de negocio y proponer soluciones de IA tradicionales, GenAI y AgenticAI, evaluando la viabilidad mediante el desarrollo de pruebas de concepto (POCs).
• Preparación de datos: Definir requisitos de datos, etiquetarlos, limpiarlos y realizar análisis exploratorios para preparar los datos previos a la modelización.
• Modelización: Entrenar modelos de ML sobre datos estructurados y no estructurados, utilizar algoritmos de IA generativa según corresponda, desarrollar AgenticAI para su integración en el ecosistema tecnológico de la compañía, definir métricas de rendimiento y criterios GO/NO GO.
• Monitorización de resultados: Crear dashboards en Power BI para el seguimiento de soluciones y apoyar a los equipos internos y de negocio.
• Comunicación: Transmitir de forma clara y sencilla las soluciones técnicas a los equipos de negocio, posicionándose como partner en el desarrollo de soluciones IA.
  
  

Perfil

Formación:

• Licenciado/a en Estadística, Matemáticas, Ingeniería Informática, Telecomunicaciones o similar (imprescindible).
  
  

Conocimientos Técnicos

• Programación en Python y Spark, deseable SQL y Scala.
• Modelado de ML, DL y LLM.
• Conocimiento en AgenticAI.
• Experiencia en entornos Azure y arquitecturas como Databricks.
• Experiencia previa en el sector asegurador será valorada.
  
  

Experiencia

• Mínimo 3 años en posiciones similares como Data Scientist.
• Experiencia en análisis y desarrollo de soluciones IA.
  
  

Idiomas

• Inglés: Alto (imprescindible).
  
  

Habilidades y Competencias

• Orientación a resultados y cliente interno.
• Capacidad analítica y de toma de decisiones.
• Proactividad y espíritu emprendedor.
• Habilidades de comunicación y trabajo en equipo.
• Capacidad de negociación y liderazgo transversal.
• Metodológico, organizado y con actitud innovadora.
• Capacidad para anticipar necesidades y adaptarse a entornos cambiantes.
• Resiliencia y flexibilidad.
  
  

¿Por qué unirte a AXA España?

AXA España es uno de los Centros de Talento más relevantes para AXA con más de 3.000 empleados que trabajan en proyectos locales e internacionales.

Nos enorgullece haber sido galardonados con distintas certificaciones como Top Employer y Top LinkedIn Company, gracias a nuestro ambiente de desarrollo, diversidad e inclusión.

Trabajamos por el progreso de la sociedad protegiendo lo que importa. Creamos un valor sostenible a largo plazo mientras protegemos a nuestros clientes, nuestra economía, nuestro medio ambiente y la sociedad.

Aquí, podrás crecer profesionalmente, trabajar con flexibilidad y formar parte de un equipo que impulsa el cambio y la innovación.

En AXA promovemos activamente la Diversidad e Inclusión ofreciendo igualdad de oportunidades. Se valorará positivamente la posesión de un certificado de discapacidad.

Si buscas un lugar donde marcar la diferencia, ¡te esperamos en AXA España!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 feb.

Teletrabajo . Jira Power BI Machine Learning

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE

The Project Manager is responsible for ensuring the successful planning, execution, tracking, delivery and closure of client projects. The Project Manager works with the client to understand requirements and engages the global team in the fulfillment of these requirements, crafting client solutions based on the Welocalize Four Pillars of Customer Service, Quality, Innovation and Global Teamwork.

The ideal candidate is a driven but steady individual, capable of building relationships across the entire project team, with the flexibility and energy to thrive in a dynamic environment. Experience in the localization industry is required.

Main Duties

• The following is a non-exhaustive list of responsibilities and areas of ownership of the Project Manager:
• Experience with Machine Translation and NLP work processes are recommended
• Technical Skills: JIRA, Confluence, Zendesk, and PowerBi.
• Project planning, scoping, requirements gathering and validation with client
• Quoting, estimates, working with budgets are part of the regular daily tasks.
• Identifying and working with the relevant client and internal stakeholders to plan and resource projects appropriately in terms of quality, cost, and schedule requirements
• Risk analysis and contingency planning (plan-do-check-act cycle)
• Leading the internal and external team to successful execution and delivery of client projects
• Creating schedule and monitoring timeliness of delivery
• Managing the budget and controlling project costs
• Establishing and nurturing relationships with the customer, internal teams and external suppliers
• Overseeing project activities and ensuring resolution to any problems that may arise (corrective and preventive action)
• Actively seeking ways to optimize delivery, client satisfaction, quality and profitability
• Reporting, both in written and verbal form, to internal and external stakeholders regarding Project scope, financials, progress and status, formally and on an ad-hoc basis as required
• Ensuring finance systems are kept up to date and accurate
• Process documentation and knowledge management
• Ensuring profit of project is maintained through the management of margin
  

Measures of Success

• Delivery of services in line with core KPIs for project management, which include but are not limited to:
• client satisfaction;
• on-time delivery;
• cost control and profitability;
• revenue throughput;
• client growth
  

Experience

• Proven project management experience in a fast-paced, client-centric environment, ideally in the translation or localization industry
• Knowledge of the translation industry and a keen interest in its technology, process, competitive landscape and emerging trends
• Demonstrated success at managing large accounts and/or projects
• Curiosity and creativity to question existing processes and approaches and innovate new ones
• Proven experience in development of processes and ideas. 
• Experience in financial management and budget to actual management
• Customer relationship management and business development skills to drive organic growth
• Must be available to travel for work related commitments
  

Other Relevant Skills

• Native-level proficiency or advanced knowledge of Italian (minimum B2 level or higher)
• Energy and a positive attitude with excellent interpersonal skills
• The ability to lead large, diverse, virtual teams
• Excellent Written and verbal communication skills. 
• Strong organizational and problem-solving skills
• Effective presentation skills
• Ability to build and maintain strong client relationships
• Ability to manage multiple priorities  in a time-sensitive and deadline-driven work environment
• Ability to cope with high pressure caused by one or more project management elements such as quality, turnaround time, resource or budget constraint
• Attention to details
• Ability to learn and master quickly the technology, tools and processes required by the account
• The ability to train a Project Coordinator on projects/processes
  

Education Level

• Bachelor’s degree (B.A.) from a college or university in related filed or relevant working experience.
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 feb.

Teletrabajo . Jira Power BI Machine Learning

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

MAIN PURPOSE

The Project Manager is responsible for ensuring the successful planning, execution, tracking, delivery and closure of client projects. The Project Manager works with the client to understand requirements and engages the global team in the fulfillment of these requirements, crafting client solutions based on the Welocalize Four Pillars of Customer Service, Quality, Innovation and Global Teamwork.

The ideal candidate is a driven but steady individual, capable of building relationships across the entire project team, with the flexibility and energy to thrive in a dynamic environment. Experience in the localization industry is required.

Main Duties

• The following is a non-exhaustive list of responsibilities and areas of ownership of the Project Manager:
• Experience with Machine Translation and NLP work processes are recommended
• Technical Skills: JIRA, Confluence, Zendesk, and PowerBi.
• Project planning, scoping, requirements gathering and validation with client
• Quoting, estimates, working with budgets are part of the regular daily tasks.
• Identifying and working with the relevant client and internal stakeholders to plan and resource projects appropriately in terms of quality, cost, and schedule requirements
• Risk analysis and contingency planning (plan-do-check-act cycle)
• Leading the internal and external team to successful execution and delivery of client projects
• Creating schedule and monitoring timeliness of delivery
• Managing the budget and controlling project costs
• Establishing and nurturing relationships with the customer, internal teams and external suppliers
• Overseeing project activities and ensuring resolution to any problems that may arise (corrective and preventive action)
• Actively seeking ways to optimize delivery, client satisfaction, quality and profitability
• Reporting, both in written and verbal form, to internal and external stakeholders regarding Project scope, financials, progress and status, formally and on an ad-hoc basis as required
• Ensuring finance systems are kept up to date and accurate
• Process documentation and knowledge management
• Ensuring profit of project is maintained through the management of margin
  

Measures of Success

• Delivery of services in line with core KPIs for project management, which include but are not limited to:
• client satisfaction;
• on-time delivery;
• cost control and profitability;
• revenue throughput;
• client growth
  

Experience

• Proven project management experience in a fast-paced, client-centric environment, ideally in the translation or localization industry
• Knowledge of the translation industry and a keen interest in its technology, process, competitive landscape and emerging trends
• Demonstrated success at managing large accounts and/or projects
• Curiosity and creativity to question existing processes and approaches and innovate new ones
• Proven experience in development of processes and ideas. 
• Experience in financial management and budget to actual management
• Customer relationship management and business development skills to drive organic growth
• Must be available to travel for work related commitments
  

Other Relevant Skills

• Native-level proficiency or advanced knowledge of Italian (minimum B2 level or higher)
• Energy and a positive attitude with excellent interpersonal skills
• The ability to lead large, diverse, virtual teams
• Excellent Written and verbal communication skills. 
• Strong organizational and problem-solving skills
• Effective presentation skills
• Ability to build and maintain strong client relationships
• Ability to manage multiple priorities  in a time-sensitive and deadline-driven work environment
• Ability to cope with high pressure caused by one or more project management elements such as quality, turnaround time, resource or budget constraint
• Attention to details
• Ability to learn and master quickly the technology, tools and processes required by the account
• The ability to train a Project Coordinator on projects/processes
  

Education Level

• Bachelor’s degree (B.A.) from a college or university in related filed or relevant working experience.
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 feb.

Teletrabajo . Python TSQL R Machine Learning Power BI Tableau

¡Únete a nuestro equipo y sé parte de la transformación digital de la contratación pública europea!

¿Quieres impulsar tu carrera profesional transformando cómo Europa y España utilizan los datos de contratación pública para tomar mejores decisiones? ¿Te apasiona extraer conocimiento de grandes conjuntos de datos?

Si eres un/a profesional con experiencia en análisis de datos, conocimiento profundo del ecosistema de la contratación pública, y capacidad para convertir datos complejos en insights accionables, ¡te estamos esperando!

Estamos buscando a un/a Analista de Datos de Contratación Pública con perfil técnico-analítico, capacidad para trabajar con datos y conocimientos profundos del marco normativo europeo y español de contratación pública. La persona seleccionada trabajará en el diseño y ejecución de análisis de datos, desarrollo de dashboards, y colaboración estrecha con ingenieros de datos, ontólogos y expertos en contratación pública.

Requisitos

• Al menos 3 años de experiencia en análisis de datos, investigación aplicada, o proyectos relacionados con contratación pública.
• Experiencia demostrable trabajando con conjuntos de datos de contratación pública (p.ej. TED, eForms, datos nacionales de Estados Miembros).
• Conocimiento muy sólido del marco normativo de contratación pública en Europa y/o en España (conocimiento del proceso de contratación, actores involucrados, ciclo de vida de los contratos, proceso de generación de datos, etc.).
• Dominio excelente del inglés (C1 o superior). El español es imprescindible para trabajar con administraciones españolas.

Competencias Técnicas

• Dominio de herramientas de análisis de datos (Python, R).
• Experiencia en consultas de datos (SQL, etc.).
• Experiencia trabajando con tecnologías de web semántica (RDF, ontologías, linked data) será muy valorada.
• Familiaridad con herramientas de visualización de datos (Power BI, Tableau, o librerías de Python/R como plotly, ggplot2, etc.).
• Capacidad analítica y pensamiento crítico para interpretar datos complejos y extraer conclusiones relevantes.

Se valorará positivamente

• Experiencia previa trabajando con la Comisión Europea u otras instituciones europeas.
• Publicaciones o investigaciones previas sobre contratación pública.
• Experiencia con grafos de conocimiento (knowledge graphs) y tecnologías SPARQL.
• Conocimiento de metodologías de ciencia de datos y machine learning aplicadas a datos administrativos.

Lo que ofrecemos:

Tenemos un modelo de carreras personalizado con revisión salarial, apuesta clara por la formación continua (técnica, metodológica y competencial), acceso a certificaciones, diferentes modalidades de trabajo (incluyendo el teletrabajo), conciliación laboral (flexibilidad horaria y jornada intensiva los viernes y los meses de verano) y beneficios sociales (seguro de vida, mutua de salud y ayuda flexible que te permitirán destinar tu retribución flexible a aquello que necesites).

¡NTT DATA es tu sitio! Porque hemos obtenido en España, por 10º año consecutivo, la certificación Top Employer, que nos reconoce como una de las mejores empresas en las que trabajar, gracias a nuestro compromiso por el talento. Únete a un equipo que, apuesta por el desarrollo integral de sus profesionales, elige el modelo de trabajo que mejor se adapte a ti, y colabora en un entorno diverso, donde cada persona tiene su propia singularidad.

#TheDigitalLovers #TopEmployer

En NTT DATA creemos que toda persona es única y diferente y por ello apostamos por una cultura inclusiva que reconoce y valora la diversidad. Trabajamos día a día para crear un entorno en el que podamos explorar, vivir y potenciar nuestra propia singularidad.

#YouMakeUsUnique #TheDigitalLovers

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 feb.

Python TSQL Machine Learning Power BI Tableau

Data Analyst for AI projects

Country: Spain

IT STARTS HERE

Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what´s possible.

This is more than a strategic shift. It´s a chance for driven professionals to grow, learn, and make a real difference.

Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society.

THE DIFFERENCE YOU MAKE

About the Role

At Santander, we are building a world-class AI and Data organization to drive innovation at scale and impact the lives of over 170 million people worldwide. As part of our strategic ambition to become an "AI-First" bank, we are looking for a Data Analyst to join our team. You will be responsible for exploring data, extracting insights, and preparing datasets that will serve as the foundation for the development and training of Artificial Intelligence models. You will play a crucial role in the lifecycle of AI use cases, ensuring that the data used is of high quality and that the models generate the expected impact.

Key Responsibilities

Data Analysis and Preparation
- Explore and analyze large datasets to identify patterns, trends, and opportunities for the application of AI models.
- Perform data cleaning, transformation, and preprocessing to ensure its quality and suitability for modeling.
- Apply feature engineering techniques to improve the performance of predictive models.

Support for the AI Lifecycle
- Collaborate closely with Data Scientists and AI Engineers to develop, train, and validate models.
- Define and monitor model performance metrics and create dashboards to visualize results and business impact.
- Translate business requirements into analytical problems and concrete data specifications.

Communication and Collaboration
- Act as a liaison between business areas and technical AI teams.
- Present analysis findings and results to different audiences, both technical and non technical.

WHAT YOU´LL BRING

Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We´re enabling teams to go beyond by valuing who they are and empowering what they bring.

The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education:
- Degree in Engineering, Statistics, Mathematics, Computer Science, or a similar field. (Required).

Professional Experience
- Solid experience in data analysis, with proficiency in SQL and Python (especially libraries like Pandas, NumPy, and Scikit-learn). (Required).
- Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn. (Required).

Hard Skills
- Knowledge of the fundamental concepts of machine learning and its lifecycle. (Required).
- Excellent communication skills and the ability to work in complex, multidisciplinary environments. (Required).

WE VALUE YOUR IMPACT

Your contribution matters, and it´s recognized. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.
- We´re enable our teams to go beyond through global opportunities and broad career paths.
- Flexibility that works. Enjoy a hybrid working models-some days remote, some days onsite with your team-along with flexible hours.
- Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (www.santanderopenacademy.com)
- Competitive rewards. Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.
- Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
- Your health is our priority. Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.
- We know family is everything. That´s why we offer childcare support and family-friendly programmes tailored to each life stage.
- Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
- Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. And that´s only the beginning-we´ll tell you more when you join!

We´re here to keep you motivated, help you reach your goals, and celebrate your progress, every step of the way.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada6 feb.

Python TSQL Docker Cloud Coumputing Kubernetes Elasticsearch Microservices AWS PostgreSQL Redis Terraform Kafka DDD Machine Learning Salesforce Office

Hey there!
We´re Fever, the world´s leading tech platform for culture and live entertainment,

Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we´re revolutionizing the way people engage with live entertainment.

Every month, our platform inspires over 300 million people in +40 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.

Our results? We´ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?

To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!

Ready to be part of the experience?

Now, let´s discuss this role and what you will do to help achieve Fever´s mission.

We´re looking for Software Backend Engineers to join our Data Department, developers with strong backend engineering skills and a passion for building the services and infrastructure that power critical systems for users and partners. You will work at the intersection of software engineering, AI and business automation, helping turn insights and models into reliable, scalable systems used across Fever.

What you´ll do
- Architect and Build: Design, implement, and maintain scalable microservices using Python (FastAPI/Django). You will take ownership of breaking down complex monoliths or building new services from the ground up, applying DDD principles.
- Master the Event Stream: Build robust, event-driven flows with Kafka. You will ensure that our events are durable, ordered, and processed idempotently, managing eventual consistency with care.
- Integrate at Scale: Design fault-tolerant integrations with third-party ecosystems (Meta Ads, Google Marketing Platform, Salesforce). You´ll navigate rate limits, retries, and circuit breakers to maintain platform stability, even when external APIs are unpredictable.
- Bridge OLTP and OLAP: Work at the intersection of transactional applications and analytical data. You´ll optimize PostgreSQL for operational efficiency while designing ingestion pipelines for Snowflake and Elasticsearch, using Airflow and dbt.
- Productionize Data Capabilities: Partner closely with Data Science, Machine Learning, and Data Engineering teams to ensure seamless integration of data sources and model infrastructure.
- Elevate the Bar: Lead thorough code reviews, write RFCs for key technical decisions, and mentor mid-level engineers. You´ll champion testing strategies (unit, integration, contract testing) and advocate for clean, sustainable code architecture.
What we´re looking for
- Python Proficiency: You´re confident working deeply in Python. You understand topics like the GIL, concurrency (asyncio), generators, and decorators, and you care about maintainable typing and thoughtful performance optimization.
- Architecture Patterns: You enjoy designing systems that are easy to evolve and test. You´re comfortable applying Hexagonal Architecture to keep domain logic clean and decoupled, and you can leverage patterns like CQRS and the Transactional Outbox to support consistency and reliability in an event-driven environment.
- Database Polyglot: You have strong SQL fundamentals and know how to design for performance (PostgreSQL internals, indexing strategies). You also understand when tools like Redis (caching) or Elasticsearch (search/aggregations) are the right fit.
- Communication: You communicate clearly in English across audiences - from engineers to non-technical stakeholders - and you can explain your decisions in a structured way, backed by data and sound reasoning.
- Pragmatic mindset: You balance quality with impact. You´re able to make thoughtful trade-offs, deliver iteratively, and keep an eye on long-term sustainability while moving at a good pace.
Bonus points for
- AdTech/MarTech Experience: Familiarity with APIs from major marketing or CRM platforms (Meta, Google, Salesforce Marketing Cloud, etc.).
- Infrastructure as Code: Experience defining infrastructure using Terraform or AWS CDK.
- Data Engineering Crossover: Experience with data pipelines, Airflow, dbt, or data modeling in warehouse environments like Snowflake or BigQuery.
- ML & Internal Products: Experience building data or ML-powered internal services or automation platforms.
- Production Engineering: Experience with containerization (Docker) and orchestration (Kubernetes). You are comfortable debugging production issues using monitoring tools (Datadog, Prometheus, Grafana).
- Open Source:A history of contributing to open-source projects or maintaining your own libraries.

The environment
- We´re a fast-moving, impact-focused, and tech-driven team that partners closely with Data Science and Data Engineering.
- We care deeply about clean, maintainable code and building solutions that last. We prefer sustainable improvements over quick fixes.
- We foster a strong sense of ownership, with engineers taking ideas from design through delivery and supporting their services in production as they´re adopted across teams.
- Collaboration is at the core of how we work: product, engineering, and data functions team up to turn ideas and models into reliable, user-facing capabilities.

Benefits & Perks
- Responsibility from day one and professional and personal growth
- Opportunity to have a real impact in a high-growth global category leader
- A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
- Stock options plan
- 40% discount on all Fever events and experiences
- Home office friendly, location in Spain
- Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
- English / Spanish Lessons
- Wellhub Membership
- Possibility to receive in advance part of your salary by Payflow
- Compensation package consisting of base salary and the potential to earn a significant bonus for top performance:
- Base Salary: 50.000 - 70.000EUR
- Total Compensation: 70.000 - 90.000EUR (Including Base, Variable, and Stock Options)
About the process

Fever aims to provide the best-fastest possible experience to our candidates. This is how it would look like:
- Talent Interview - 45min: An intro to Fever, our culture and a conversation about your background and experience.
- Technical interview - 2h: An in depth discussion about a technical challenge, from architecture to coding details.
- Engineering Manager Interview - 1h: A deep dive into your background and what you can expect on your day to day at Fever.