Ofertas de empleo para Python

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

. Javascript Python Machine Learning

CT es una empresa líder en tecnología, que proporciona servicios de innovación e ingeniería en los sectores aeronáutico, espacial, naval, automovilístico, ferroviario, energético y de plantas industriales. CT impulsa los límites de la tecnología a través de la innovación, y lleva la eficiencia a otro nivel cubriendo todo el ciclo de vida de los productos, desde el diseño y la fabricación hasta el soporte postventa. Con más de 30 años de experiencia, el éxito de CT está impulsado hoy en día por más de 1.800 ingenieros expertos repartidos en siete países, en tres continentes.

Actualmente, seleccionamos un/a Ingenieros/a de mantenimiento aeronáutico para participar en diferentes proyectos dentro del sector aeroespacial: publicaciones técnicas, diseño, cálculo, simulación y machine learning. La persona entrará a formar parte del equipo de Engineering Support.

Las responsabilidades y actividades que realizará de forma continua serán:

• Participación en la definición de soluciones técnicas para reparar daños estructurales o de sistemas en aviones en servicio, cuando no estén cubiertos por la documentación estándar.
• Analizar y resolver consultas técnicas en aviones en servicio y comunicando los resultados a los clientes.
• Análisis de impacto en las flotas de A400M, A330 MRTT y de L&M de la documentación de ingeniería mandatoria y no mandatoria (SB, AOT, AD etc) emitida por Airbus SAS/EASA/FAA y la emisión de la respectiva comunicación de las conclusiones a los operadores.
• El/La candidato/a analizará diversos criterios como CDS, RFC, NT, SB, CON, entre otros, e identificar los posibles impactos en el manual IPD/IPC. Será responsable de validar los trabajos realizados durante la fase de autoría, asegurando la calidad antes de la entrega final al cliente.
• Actualizará y optimizará las herramientas de control y seguimiento de proyectos.
• Colaborarás estrechamente con el equipo en el análisis y seguimiento de actividades, aportando tu experiencia en los programas MRTT y LTA.

¿Qué ofrecemos?

Lo que hace especial a CT no es sólo lo que hacemos, sino cómo lo hacemos. Valoramos la pasión por la ingeniería, la innovación, el compromiso y la excelencia. Creemos en la importancia de cumplir nuestras promesas, aprender, crecer juntos, y asumir nuevos retos. Unirse a CT significa formar parte de un entorno colaborativo, dinámico e inspirador en el que la pasión por la ingeniería impulsa el futuro. Donde la pasión por la ingeniería impulsa el futuro.

Requisitos

• Conocimiento de lenguajes de programación Python, Javascript, VBA
• Titulación en Ingeniería Aeronáutica, Industrial y/o Naval
• Manejo de SW de elementos finitos y diseño como CATIA, Nastran, Hypermesh, ISAMI, Abaqus y Patran
• Conocimientos Publicaciones Técnicas ADS
• Nivel alto de inglés (B2-C1)
• Capacidad para trabajar en equipo con una atención impecable al detalle.
• Proactividad, organización y habilidades para la gestión del tiempo.
• Familiaridad con la estructura y servicios de Airbus Defence and Space.
• Disponibilidad para trabajar de forma presencial en Getafe

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

Teletrabajo . Python TSQL Jira QA

Job Description

Capgemini Engineering, líder mundial en servicios de ingeniería, reúne equipos de ingenieros/as, científicos/as y arquitectos/as para ayudar a las empresas más innovadoras del mundo a liberar su potencial y contribuir a un futuro mejor. Desde coches autónomos hasta robots que salvan vidas, nuestros/as expertos/as en tecnologías digitales y software se salen de lo convencional proporcionando servicios unicos de I+D e ingeniería en todos los sectores de actividad. ¡Únete al equipo y continúa tu carrera en una compañía con oportunidades de crecimiento, donde puedes marcar la diferencia y donde ningún día es igual al anterior!

En Capgemini Engineering estamos seleccionando un/a Analista QA para incorporar en uno de nuestros proyectos en Madrid con posibilidad de teletrabajo ubicado en Pozuelo de Alarcón

Job Description - Grade Specific

Tu misión será garantizar la calidad de las funcionalidades, detectar posibles fallos y evaluar si una nueva implementación en un país puede afectar a otros. Trabajarás con herramientas internas, por lo que contarás con un periodo de aprendizaje inicial.

Este equipo se encarga de resolver incidencias relacionadas con las funcionalidades que se lanzan en distintos países, por lo que el rol requiere una visión global y capacidad analítica para anticipar impactos entre mercados.

Responsabilidades

• Control y gestión del portfolio de Verisure.
• Análisis proactivo de incidencias y comunicación a los países afectados.
• Evaluación del impacto de nuevas funcionalidades en diferentes mercados.
• Creación de scripts de automatización en Python.
• Elaboración de queries complejas en SQL.
• Participación en reuniones diarias con equipos internacionales.
  
  

Requisitos Imprescindibles

• Experiencia: mínimo 5 años en QA o roles similares.
• Python: lectura y comprensión de código, creación de scripts de automatización.
• SQL: nivel avanzado, capaz de realizar queries complejas y pequeños scripts.
• Herramientas: Jira y Confluence.
• Inglés: nivel alto (C1), para comunicación diaria con equipos de 11 países.
• Competencias: proactividad, capacidad analítica y criterio para anticipar impactos.
• Modalidad: híbrida (3 días en oficina en Pozuelo, 2 días teletrabajo).
  
  

Valoramos todas las candidaturas. Contamos con una amplísima oferta formativa, presencial, online de certificaciones... Aunque no tengas el 100% de los conocimientos valorados, ¡nos encantará conocerte! Se valorará positivamente el poseer certificado de discapacidad, en el marco de nuestra política de inclusión y diversidad.

Nuestro compromiso con la inclusión e igualdad de oportunidades hace que tengamos un Plan de Igualdad y un Código Ético que garantizan el desarrollo profesional de la plantilla y la igualdad de oportunidades en su selección dentro de un entorno libre de discriminación por cuestión de etnia, nacionalidad, origen social, edad, orientación sexual, expresión de género, religión o cualquier otra circunstancia personal, física o social.

¿Qué ofrecemos?

Contrato indefinido y proyecto estable.

Salario acorde a la valoración del perfil.

Vale guardería (hasta 600 b/a).

Ayuda comida (1200€ b/a).

Formación técnicas, en habilidades e idiomas.

Plan de carrera real y adaptado a tu rol.

¿Por qué Capgemini?

Capgemini es líder global en transformar y gestionar los negocios de los clientes aprovechando todo el poder de la tecnología. Nos guía el propósito de lograr un futuro inclusivo y sostenible a través de la tecnología y de la energía de quienes la desarrollamos. Somos una compañía responsable y diversa, líder internacional en servicios de IT e Ingeniería con más de 360.000 profesionales en más de 50 países. Con una sólida herencia de 55 años y una amplia experiencia en la industria, los clientes confían en Capgemini para abordar la totalidad de sus necesidades comerciales, desde la estrategia y el diseño hasta las operaciones, impulsadas por el rápido y novedoso mundo de la nube, los datos, la IA, la conectividad, el software, las plataformas e ingeniería digitales. El Grupo reportó en 2022 ingresos globales de €22 mil millones.

Reescribe tu futuro. ¡Únete al equipo!

www.capgemini.com/es-es

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

. Python Agile Azure Cloud Coumputing AWS Machine Learning

Job Description

UL Solutions is seeking a Data Scientist to join its AI Lab team and play a key role in developing and advancing cutting-edge AI products across the organization.

This role can be based in Warsaw, Poland, or Barcelona, Spain.

Please note: We do not offer sponsorship for this position.

Responsibilities

• Design and develop AI models using Machine Learning, Deep Learning, Generative AI, and Natural Language Processing techniques.
• Train, test, and optimize algorithms and Large Language Models to ensure accuracy, scalability, and efficiency.
• Collaborate with Data Scientists and Machine Learning Engineers to integrate AI solutions into production systems.
• Deploy AI models into cloud, ensuring reliability and security.
• Strong capability to coordinate and communicate with colleagues across diverse geographic regions and time zones.
  
  

Qualifications

• Minimum of a bachelor's degree in Data Analytics, Data Science, Computer Science, or any other related field of science.
• Experience using statistical computer languages to query databases, manipulate data, and draw insights from large data sets.
• Experience with a variety of machine learning techniques and their real-world advantages/drawbacks.
• Detailed knowledge of machine learning evaluation metrics and best practices.
• Strong problem-solving with an emphasis on product development, good analytical & communication skills.
• Strong programming skills in Python, Prompt Engineering, Continuous Integration and Continuous Delivery (or Continuous Deployment), and knowledge of cloud platforms (AWS, Azure, Google Cloud) for AI deployment.
• Expertise in Large Language Model (LLM) APIs, Machine Learning frameworks (TensorFlow, PyTorch, Keras etc.) and MLOps for Generative AI.
• Experience of working in an Agile environment for applied research.
• Experience with data visualization tools and techniques.
• Demonstrated effective interpersonal, influencing, collaboration, and listening skills.
• Ability to articulate an idea with strong communication and presentation skills.
• Work as part of a small team, sharing ideas and contributing to the strategic goals.
  
  

What You’ll Experience Working For ULS

UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.

That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.

This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.

Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.

Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.

Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit  UL.com

About Us

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

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

Teletrabajo . Python TSQL Cloud Coumputing IoT

As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.

Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent, regardless of location, culture or background.

As a Talent Scientist, you will work closely with these Hiring Leads to drive initiatives, automation and best practice whilst offering an expert viewpoint on talent assessments. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.

We have a number of mid-senior level openings in our team seeking the following:

• Passion and drive to embed scientific approaches that deliver impact on how an organisation selects talent.
• Strong behavioural interviewing techniques (competency based and psychometric assessments).
• Excellent analytical problem solving ability to identify trends and patterns using SQL, statistical analysis or Python, BI tooling, etc.
• An exceptional academic background including a Bachelors or Masters degree in a Psychology based subject.
• A high level of personal organisation to work remotely and be effective.
  
  

Location: This is a remote position based in the EMEA region

What your day will look like

As a Talent Scientist you will:

• Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
• Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
• Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
• Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
• Consider our employer brand and how our interactions with a candidate impacts their experience.
• Review and streamline hiring processes and tools to drive continuous improvement.
• Work with external third parties and platforms to ensure we maximise our return on investment.
• Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
  
  

What we are looking for in you

• An exceptional academic background from high school and university, with a Bachelors or Masters degree in a Psychology based subject.
• Experience of hiring talent in the technology or consulting industry.
• A highly data drive mindset with the ability to create measurable outcomes.
• Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
• Strong analytical problem solving ability to identify trends and patterns using SQL, with Python and/or advanced statistical analysis preferable.
• Exposure/appreciation of psychometric assessments, including interpretation.
• Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
• A high level of personal organisation and self drive to work remotely and be effective.
• Willingness to travel to company events 2-4 times a year, for up to two weeks each.
  
  

Other Skills You May Bring

• Experience in sourcing and headhunting with the ability to teach our senior leadership team how to hunt for industry leaders.
• Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
• Exposure to the following tools: LinkedIn Talent Insights, Greenhouse, DISC profiling, Superset.
• Psychometric validity and reliability metrics.
  
  

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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

Teletrabajo . Python TSQL Azure Cloud Coumputing Hadoop AWS R Spark Big Data

MCENG ESPAÑA es una empresa de consultoría especializada en Tecnologías de la Información, fundada a principios de los años 2000. Con tres sedes en Italia - Turín, Milán, Roma – y una en España: Barcelona, somos un socio estratégico con un alto contenido técnico.

Nuestro enfoque centrado en el ser humano, la competencia y la innovación tecnológica son los elementos a través de los cuales abordamos objetivos ambiciosos, conscientes de nuestra capacidad para alcanzarlos.

¿Deseas experimentar en un entorno dinámico y en crecimiento? ¡Únete a nosotros!

Puesto:

Data Scientist

Requisitos:

• Bachillerato y/o Grado Técnico;
• Experiencia en exploración de datos, análisis de datos y modelado para respaldar decisiones estratégicas de negocios;
• Competencias de programación en uno o más de los siguientes lenguajes: Python, R, SQL;
• Buenas habilidades estadísticas, Minería de Datos y Aprendizaje Automático con conocimiento de herramientas como Pandas, Statsmodels, Scikit-learn, Tensorflow o bibliotecas de visualización en Python;
• Conocimiento de tecnologías Big Data como Hadoop, MapReduce, Spark;
• Conocimiento de scripts de Web Scraping utilizando Python;
• Conocimiento de tecnologías en la nube (Google Cloud, Azure, AWS) y/o bases de datos relacionales y SQL;
• Buen nivel de inglés.
  
  

Otra información:

El perfil se complementa con una alta aptitud para el trabajo en equipo, habilidades de precisión, flexibilidad mental y capacidad proactiva en la gestión de problemas profesionales.

Ofrecemos integración en el equipo con una clasificación acorde a la experiencia profesional previa y una remuneración en línea con las habilidades reales del candidato.

Este anuncio está dirigido a ambos sexos, de acuerdo con la Ley Orgánica 3/2007, del 22 de marzo, para la igualdad efectiva de mujeres y hombres, y a personas de todas las edades y nacionalidades, en cumplimiento con la legislación española vigente sobre igualdad de oportunidades en el empleo.

El trabajo se realizará en modalidad de teletrabajo completo.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 dic.

Teletrabajo . Python Docker Kubernetes Microservices REST gRPC Office

Evernote is a note-taking and organization platform that millions of users rely on for powerful note taking, project planning, personal knowledge management, and more. Now part of Bending Spoons, it plays a key role in a portfolio of outstanding digital businesses united by a shared focus on innovation and operational excellence. By applying through the Evernote brand, you’ll be stepping into the wider Bending Spoons team. You may work directly on Evernote or contribute to one of our other leading products. Either way, you’ll be part of a high-performing, collaborative environment where you can make a real impact.

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

To achieve this objective, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Master your toolkit. By working across diverse tech stacks, you’ll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust—you’ll show that true expertise isn’t about using the trendiest technologies, but about understanding their purpose to unleash their full potential.
• Build stuff that matters. Regardless of your seniority, you’ll enjoy plenty of autonomy and take full ownership of your work, from ideation to execution. You’ll have the unique opportunity to build software from the ground up and witness firsthand how your code evolves into a product used at scale.
• Simplify relentlessly. Is every component essential? Do we need this process? As a Bending Spoons engineer, your mission is to turn complexity into simplicity. Whether optimizing CI/CD pipelines, writing maintainable code, or crafting minimalist architectures, your drive to simplify will power scalable, future-proof solutions.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer individuals at the start of their career an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  
  

Commitment & contract
Permanent or fixed-term. Full-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland) or remote in selected countries.

The selection process
If you pass our screening, we’ll ask you to take on a few tests designed to assess how you approach unfamiliar problems. They’re challenging and may take several hours to complete. If you’re successful with those, we’ll invite you to a series of interviews.

We set the bar high and won't extend an offer until we're convinced we've found the right candidate. This is why a job may stay open for months or be reposted several times.

Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply.

Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and provide reasonable accommodations for an individual with disabilities—just let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we recommend spending your first few months working from our Milan office, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from our offices in Milan or London, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 dic.

Teletrabajo . Python Docker Kubernetes Microservices REST gRPC Office

Evernote is a note-taking and organization platform that millions of users rely on for powerful note taking, project planning, personal knowledge management, and more. Now part of Bending Spoons, it plays a key role in a portfolio of outstanding digital businesses united by a shared focus on innovation and operational excellence. By applying through the Evernote brand, you’ll be stepping into the wider Bending Spoons team. You may work directly on Evernote or contribute to one of our other leading products. Either way, you’ll be part of a high-performing, collaborative environment where you can make a real impact.

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

To achieve this objective, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Master your toolkit. By working across diverse tech stacks, you’ll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust—you’ll show that true expertise isn’t about using the trendiest technologies, but about understanding their purpose to unleash their full potential.
• Build stuff that matters. Regardless of your seniority, you’ll enjoy plenty of autonomy and take full ownership of your work, from ideation to execution. You’ll have the unique opportunity to build software from the ground up and witness firsthand how your code evolves into a product used at scale.
• Simplify relentlessly. Is every component essential? Do we need this process? As a Bending Spoons engineer, your mission is to turn complexity into simplicity. Whether optimizing CI/CD pipelines, writing maintainable code, or crafting minimalist architectures, your drive to simplify will power scalable, future-proof solutions.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer individuals at the start of their career an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  
  

Commitment & contract
Permanent or fixed-term. Full-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland) or remote in selected countries.

The selection process
If you pass our screening, we’ll ask you to take on a few tests designed to assess how you approach unfamiliar problems. They’re challenging and may take several hours to complete. If you’re successful with those, we’ll invite you to a series of interviews.

We set the bar high and won't extend an offer until we're convinced we've found the right candidate. This is why a job may stay open for months or be reposted several times.

Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply.

Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and provide reasonable accommodations for an individual with disabilities—just let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we recommend spending your first few months working from our Milan office, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from our offices in Milan or London, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 dic.

. Python TSQL R

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters to join our team.

Reporting to the Global Fraud Intelligence Director, you will be responsible for the research and investigation of global fraud trends to assist in the creation and development of marketing and thought leadership content that supports our sales and marketing programs. This includes analyzing BioCatch data from all geographies to identify key trends, uncover interesting insights, and ultimately tell powerful stories about stopping fraud.

Key responsibilities:

• Analyze BioCatch data on a global and regional level.
• Conduct research and analysis of data from external sources.
• Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams.
• Create written content that showcases the results of data analysis and tells compelling stories.
• Present findings in internal forums as well as externally at BioCatch events.
• Become an internal conduit for all intelligence sharing across BioCatch teams.
• Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data.
• Identify opportunities and implement process efficiencies and automation in data analysis.

Requirements:

• A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
• Understanding of statistical modelling techniques
• Experience with SQL to an intermediate/advanced level
• Experience with Python and/or R (advantageous)
• Experience working with financial institutions’ fraud departments preferred
• Strong written and verbal presentation skills
• Good communications and teamwork
• Self and a quick learner
• Second/third languages preferred

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 dic.

. Python Scrum Cloud Coumputing Agile Kanban Spark Big Data Machine Learning

En Carrefour Tech estamos en búsqueda de un ingeniero/a de machine learning con experiencia en industria, visión de negocio y capacidad técnica para desarrollar y productivizar soluciones de Machine Learning para nuestra área de Data Science, siendo responsable del proceso de extremo a extremo (E2E) en un entorno basado en Google Cloud Platform (GCP). El objetivo es resolver problemas complejos de negocio, como la optimización de procesos, la previsión de la demanda y la personalización de la oferta, transformando los datos en impacto medible y tangible para Carrefour.

Las principales responsabilidades serán:

• Desarrollo de Modelos de ML: Diseñar, entrenar y validar modelos de Machine Learning para resolver problemas de series temporales, clasificación, regresión y optimización con un alto impacto en el negocio.
• Gestión del Ciclo de Vida Completo (E2E): Asumir la responsabilidad completa de los proyectos, desde la concepción entendiendo la necesidad de negocio y el análisis de los datos necesarios al proyectos hasta la puesta en producción y el mantenimiento de los modelos. Buscamos a gente que quiera hacerse owner del desarrollo y producción de los algoritmos y sistemas inteligentes.
• Industrialización y Orquestación: Construir y gestionar pipelines de datos y modelos robustos y escalables utilizando herramientas como Apache Airflow en el entorno de Google Cloud, asegurando la calidad y el control del proyecto.
• Gestión de Proveedores: Coordinar y supervisar el trabajo de proveedores externos para el desarrollo de soluciones, asegurando la viabilidad técnica, la calidad del entregable y su correcta industrialización.
• Documentación y Escalabilidad: Asegurar la adecuada documentación y sostenibilidad de las soluciones implementadas, garantizando su escalabilidad en el tiempo.

Se requiere:

• Estudios superiores: Ingeniería Informática, Matemáticas, Estadística o similar. Se valorará positivamente Máster o PhD en áreas relacionadas con machine learning, data science, IA o big data.
• Proactividad, autonomía y foco en negocio: perfil proactivo, con alta capacidad para la resolución de problemas y para trabajar de forma autónoma en un entorno dinámico. Capacidad para entender los procesos de negocio y alinear las soluciones técnicas con los objetivos estratégicos de la compañía.

Experiencia demostrable de como mínimo 3 años en:

• Sólidos conocimientos de teoría de machine learning y data science: algoritmos de clasificación y de regresión para datos tabulares, métricas de rendimiento, workflow en un proyecto de aprendizaje supervisado y no supervisado, construcción de datasets para ML y sólida base en estadística (descriptiva e inferencial).
• Experiencia en el desarrollo de modelos de machine learning con Python y las bibliotecas de ML y data science principales (NumPy, Pandas, Matplotlib, Scikit-Learn y similares).
• Serán necesarios conocimientos de PySpark para manejo y análisis de grandes volúmenes de datos en entornos de computación distribuida (EMR, Google Cloud Dataproc, Databricks o similares), así como de spark ML.
• Experiencia en la puesta en producción de modelos (MLOps) y en el uso de herramientas de orquestación de flujos de trabajo, especialmente con Apache Airflow.
• Conocimientos prácticos del ecosistema Google Cloud Platform para data science y ML, especialmente en servicios BigQuery, Cloud Dataproc y Vertex AI.

Se valorará positivamente la experiencia en:

• Herramientas de observabilidad y monitorización de modelos de ML
• Experiencia en la industrialización de proyectos de machine learning en grandes organizaciones en preferencia en Retail
• Sistemas de recomendación y modelos de ranking (LTR)
• Teoría de deep learning y práctica con PyTorch
• Familiaridad con metodologías ágiles (Scrum, Kanban).
• Nivel alto de inglés o francés

Ofrecemos:

• Un entorno dinámico y retador.
• Oportunidades de desarrollo profesional en una empresa líder en el sector.
• La posibilidad de liderar proyectos estratégicos de alto impacto.

¡Nos encantará conocerte y contarte más detalles de nuestro proyecto profesional!