Ofertes d'ocupació per a machine-learning

• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

Teletreball TSQL Django NoSQL SaaS Machine Learning

En WEJYC buscamos a alguien que le mole el desarrollo backend para unirse a nuestro equipo. Nos dedicamos a proyectos con Django, Machine Learning y plataformas SaaS, y necesitamos a alguien que quiera sumarse a proyectos interesantes y con retos.

¿Qué harás en el día a día?

• Desarrollar y mantener aplicaciones backend con Django.
• Integrar y mejorar modelos de Machine Learning en nuestros proyectos.
• Colaborar en el desarrollo de plataformas SaaS y otras soluciones.
• Optimizar sistemas para que rindan al máximo.
• Trabajar mano a mano con el equipo frontend y otros compañeros.
  
  

Lo que necesitamos de ti:

• Experiencia en Django.
• Conocimientos de Machine Learning.
• Experiencia con arquitectura SaaS y APIs.
• Buen manejo de bases de datos (SQL, NoSQL).
• Capacidad para resolver problemas de forma autónoma y creativa.
  
  

Lo que ofrecemos:

• Rango salarial: 22.000€ - 28.000€ brutos anuales, según experiencia.
• Modalidad de trabajo híbrida: presencial de lunes a miércoles y teletrabajo los jueves y viernes.
• Proyectos variados y con buena dosis de innovación.
• Ambiente de trabajo cercano y flexible, con un equipo joven.
• Oportunidades de crecimiento y desarrollo en tecnologías top.
  
  

Si tienes ganas de empezar y crecer con nosotros, ¡queremos conocerte!

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

Python TSQL Azure Docker Cloud Coumputing Git AWS DevOps Big Data Machine Learning Power BI Salesforce Tableau

¿Quienes somos?

VML The Cocktail es una compañía de transformación creativa, que trabaja con el objetivo de combinar creatividad, diseño, tecnología y datos para crear productos, marcas, servicios y empresas que se relacionan con las personas, diseñando historias para el día de mañana.

Trabajamos en proyectos end to end con nuestros clientes, desde que surge una necesidad hasta todo el desarrollo y la implementación de los mismos. Nos gusta entender a fondo el reto de cada proyecto y, con todo el talento que tenemos en casa, nos aseguramos de llevarlo a cabo con éxito.

El área de Data & Marketing

Desde Data Marketing, estamos buscando al mejor talento para incorporarse a nuestro equipo. En esta área trabajan más de 200 profesionales abarcando todas las capacidades que engloban el mundo del dato y del marketing digital. Es un área en pleno crecimiento y con grandes retos por delante.

¿Por qué estamos creciendo tanto?

• Como partners del año de Salesforce, estamos a la vanguardia de la tecnología y ofrecemos las soluciones más innovadoras a nuestros clientes
• Nos destacamos en el mercado por nuestro enfoque integral
• Tomamos decisiones estratégicas basadas en datos
• Trabajamos en entornos globales

¿Quieres ser parte de este crecimiento? Esto es lo que buscamos:

Estamos buscando un Data Scientist creativo y orientado a resultados para unirse a nuestro equipo. En este rol, tendrás la oportunidad de trabajar con grandes volúmenes de datos, descubrir patrones clave y aportar insights valiosos que impulsarán nuestras decisiones estratégicas.

Si disfrutas resolver problemas complejos, experimentar con algoritmos avanzados y convertir números en historias, ¡queremos conocerte! 🚀

Responsabilidades

• Trabajamos en entorno cloud (GCP, AWS, Azure) y usamos las herramientas adecuadas para cada problema en concreto.
• Traducir las necesidades de negocio a modelos predictivos, su dimensionamiento y productivización, así como la activación y monitorización de estas predicciones en relación a los OKRs.
• Desarollar modelos matemáticos avanzados basados en técnicas de machine learning, especialmente en modelos predictivos de clasificación (i.e., bagging, boosting) y clusterización (i.e., K-means, Mean Shift).

Requisitos:

• Experiencia de al menos 3 años en las funciones descritas.
• Tener conocimientos de desarrollo de software, Object Oriented Programing, y manejo avanzado de Python: estructuras de datos y principales librerías (i.e., numpy, pandas, sklearn, Keras, Tensorflow, Pytorch).
• Conocimientos avanzados de bases de datos relacionales (principalmente SQL) y fuentes no relacionales/NoSQL.
• Experiencia en metodología DevOps, contribución a repositorios git, monitorización del código mediante builds (docker) y testing, así como despliegues en entornos de UAT y productivos.
• Experiencia en metodología MLOps, paquetización de modelos, módulos de entrenamiento y validación, módulos de inferencia, versionamiento de modelos y monitorización de data shift para el re-entrenamiento.
• Nivel alto de inglés.

Nos encantaría si:

• Estás acostumbrado a trabajar con algunos de los siguientes paradigmas: series temporales, NLP, análisis geoespacial, reconocimiento de imágenes, etc.
• Tienes conocimientos sobre técnicas de optimización numérica: gradient descent, quasi-Newton, computación evolutiva, programación lineal, etc.
• Has trabajado con soluciones cloud orientadas a Inteligencia Artificial: GCP (Vertex), AWS (Amazon SageMaker), Azure (MLFlow). Y la realización de prototipos/productos web en frameworks ágiles.
• Tienes experiencia con entornos Big Data y haber tratado volúmenes de datos que requieran entornos distribuidos (pyspark y Databricks).
• Que poseas conocimientos en herramientas de visualización: Tableau, Power BI, Qlik Sense, Shiny, Spotfire, etc.

Beneficios de trabajar en VML The Cocktail

• Flexibilidad horaria
• 25 días de vacaciones al año + nochebuena y nochevieja + 2 días en Semana Santa
• Modelo híbrido, full remote o presencial.
• Plan de carrera personalizado y formación continua
• Mejora tu nivel de inglés con clases formativas
• No tenemos dress code. Ven como quieras a trabajar.
• Descuentos exclusivos y tiempo para tu crecimiento.
• Acceso a Cobee
• Iniciativas de apoyo a la maternidad y políticas de igualdad y diversidad.

Próximos pasos.

Si has llegado hasta aquí es porque hemos conseguido llamar tu atención 😉

Apúntate a la oferta y el equipo de People echará un vistazo a tu CV. Si coincide con lo que buscamos, recibirás una llamada para conocernos mejor y que podamos contarte más sobre VML The Cocktail y sobre el rol.

Si te apasiona la excelencia, los desafíos, y quieres ser parte de un equipo que transforma ideas en realidad, ¡VML The Cocktail es para ti! 🙌

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de set.

Python Docker Cloud Coumputing Git R LESS Machine Learning Office

Company Description

As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View™ on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.

We are always looking for open-minded people who will grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive things forward and the integrity to insist on doing things the right way, we'll equip you to take your future into your own hands and play a leading role in our story.

Job Description

Mission

• Develop Marketing Science solutions in the area of media analytics
• Support the product development during concept testing phases, scaling and production
• Transform proofs-of-concept into scalable, production-ready code
  
  

Responsibilities

• Develop, implement and standardize marketing science solutions in proofs-of-concept and prototypes
• Continuously improve the efficiency of the marketing science products (e.g. ensure quality by adherence to coding guidelines, documentation and reproducibility)
• Optimize marketing science models using code optimization, high-performance computing and real-time techniques
• Build analytical pipelines at scale using cloud services, containerized applications and distributed systems
• Identify best practices and create continuous improvement of tools and methods
• Closely collaborate with Product Owners, Modellers, Marketing Scientists and Front End Software Engineers
  
  

Qualifications

• Bachelor or Master degree that reflects strong statistical/mathematical/computer science skills
• Strong expertize in Python usage - at least 3 years of development
• Understanding of R
• Experienced in statistical modelling on top of predictive modeling
• Able to manage code deployments (experience with GIT)
• Basic understanding of Dockerization – building and managing docker images
• Experienced with creating, managing and/or maintaining code documentation
• Solid skills concerning performance optimization and scalability (e.g., parallelization, code optimization, functions as a service)
• Ability to present and explain complex concepts to less experienced colleagues
  
  

Soft Skills

• Strong analytical and problem-solving skills
• Able to work independently
• Good attention to detail – ensure all outputs are delivered professionally and accurate
• Good interpersonal skills – treat others with respect, be cooperative, friendly and considerate of others. Be a good role model, help to build teamwork and team spirit
• Well-organised and flexible, and demonstrate self-confidence, decisiveness and commitment able to work alone without constant support, and well organized
• Ease of communication in an English-speaking business environment
  
  

Additional Information

Hybrid : our team goes 1 per week at Madrid office - we offer a Flexible working mode

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
  
  

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de set.

React Node.js Python REST TypeScript Fintech Machine Learning

BrainRocket is a global company creating end-to-end tech products for clients across Fintech, iGaming, and Marketing. Young, ambitious, and unstoppable, we´ve already taken Cyprus, Malta, Portugal, Poland, and Serbia by storm. Our BRO team consists of 1,300 bright minds creating innovative ideas and products. We don´t follow formats. We shape them. We build what works, launch it fast, and make sure it hits.

Requirements:
• 5+ years in full stack development (React + Node.js)
• Strong with TypeScript, Next.js
• Solid understanding of databases
• Optional but powerful:

- Comfort working with data processing, monitoring systems and AI agents

- Built or integrated AI agents, prompt pipelines, or retrieval systems

- Worked with alerting systems (Prometheus, VictoriaMetrics, or similar)

- An eye for UI/UX using Mantine. Nothing serious, just capability to add a button in a convenient place without a bunch of BRDs

- Experience with / knowledge of anomaly detection algorithms on static and streaming data

- General understanding of event streaming and online algorithms

- Understanding of machine learning concepts and frameworks

- Basic proficiency in Python
• Proficiency in English and Russian.

Duties and opportunities:
• Choose tools, propose architecture, create new features - not just build to spec.
• Clean thinking, fast iteration, and meaningful output.
• Implement software for static and near real-time observability
• The widest range of diverse challenging tasks
• Building monitoring and AI solutions at enormous scale

We offer excellent benefits, including but not limited to:

Learning and development opportunities and interesting, challenging tasks.
Opportunity to develop language skills, with partial compensation for the cost of English classes (for localisation purposes).
Global coverage health insurance
Time for proper rest, with 20 working days of annual vacation and additional paid sick days.
Competitive remuneration level with annual review.
Teambuilding activities.

Bold moves start here. Make yours. Apply today!

By submitting your application, you agree to our Privacy Policy.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada11 de set.

MongoDB Python Azure Docker Cloud Coumputing Kubernetes Git AWS PostgreSQL Machine Learning

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About The Role

GreenPowerMonitor, a DNV company, is at the heart of global energy transformation. We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our work contributes to a more diverse and sustainable global energy mix.

We are looking for a motivated and skilled Data Scientist to join our team and contribute to the support and development of data-driven solutions in the renewable energy sector. If you are passionate about data, fluent in Python, and experienced in statistics, time series analysis, and boosting techniques, we want to hear from you!

Key Responsibilities

• Analyze time series data and perform data quality control for wind, solar, and storage technologies.
• Apply statistical and machine learning techniques to uncover insights from complex datasets.
• Collaborate with cross-functional teams to integrate analytical outputs into operational workflows.
• Train and evaluate models with effective hyperparameter tuning and result validation to support business decisions.
• Use Kubernetes to manage and deploy machine learning workflows in containerized environments.
• Work with databases such as MongoDB, ClickHouse, and PostgreSQL, for data storage and processing.
  
  

This is a unique chance to apply your data science skills to real-world challenges in renewable energy. You'll work with advanced tools and technologies, contribute to impactful projects, and help accelerate the global shift toward a sustainable energy future.

What we offer

Our benefits package is specifically designed to support your physical, financial and social wellbeing:

• Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry.
• Guidance from colleagues through coaching, mentoring and participating in international networks.
• Numerous opportunities to advance your professional skills and technical expertise through individual competence development plans and tailored training.
• Multiple country specific lifestyle benefits, including health insurance, pension plan, flexible work schedule, trainings, etc.
• Be part of a world growing and renowned organization with origins dating back to 1864.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

About You

To thrive and succeed, you have:

• Degree in Engineering, Mathematics, or Computer Science.
• Strong proficiency in Python, including libraries such as NumPy, Pandas and Scikit-learn.
• Solid foundation in applied statistics, including the series analysis, clustering, distribution analysis, and hypothesis testing.
• Practical experience with machine learning algorithms, especially clustering, regression and boosting methods (e.g. XGBoost, LightGBM, CatBoost).
• Experience in hyperparameter tuning and model performance optimization.
• Hands-on experience with time series modeling and analysis.
• Working knowledge of databases such as MongoDB, ClickHouse, or PostgreSQL.
• Proficient in Git for version control and collaborative development.
  
  

Will Be a Plus

• Familiarity with AutoML tools to streamline model development.
• Basic Knowledge of Kuberflow for orchestrating machine learning workflows.
• Experience with cloud platforms (Kubernetes, AWS, Azure) and containerization tools like Docker is a plus.
• Prior experience int he renewable energy domain is a strong advantage.
• Deep learning techniques and frameworks such as TensorFlow or PyTorch is a plus.
  
  

As a person, you demonstrate strong analytical thinking, curiosity, and a problem-solving mindset. You can work both independently and collaboratively, communicating complex finding clearly to nontechnical stakeholders. A high level of attention to detail, adaptability, and a passion for continuous learning are essential, especially in fast evolving environments like renewable energy. Strong teamwork, ownership, and a proactive attitude toward challenges and innovation are key to thriving in this role.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada11 de set.

MongoDB Python Azure Docker Cloud Coumputing Kubernetes Git AWS PostgreSQL Machine Learning

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About The Role

GreenPowerMonitor, a DNV company, is at the heart of global energy transformation. We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our work contributes to a more diverse and sustainable global energy mix.

We are looking for a motivated and skilled Data Scientist to join our team and contribute to the support and development of data-driven solutions in the renewable energy sector. If you are passionate about data, fluent in Python, and experienced in statistics, time series analysis, and boosting techniques, we want to hear from you!

Key Responsibilities

• Analyze time series data and perform data quality control for wind, solar, and storage technologies.
• Apply statistical and machine learning techniques to uncover insights from complex datasets.
• Collaborate with cross-functional teams to integrate analytical outputs into operational workflows.
• Train and evaluate models with effective hyperparameter tuning and result validation to support business decisions.
• Use Kubernetes to manage and deploy machine learning workflows in containerized environments.
• Work with databases such as MongoDB, ClickHouse, and PostgreSQL, for data storage and processing.
  
  

This is a unique chance to apply your data science skills to real-world challenges in renewable energy. You'll work with advanced tools and technologies, contribute to impactful projects, and help accelerate the global shift toward a sustainable energy future.

What we offer

Our benefits package is specifically designed to support your physical, financial and social wellbeing:

• Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry.
• Guidance from colleagues through coaching, mentoring and participating in international networks.
• Numerous opportunities to advance your professional skills and technical expertise through individual competence development plans and tailored training.
• Multiple country specific lifestyle benefits, including health insurance, pension plan, flexible work schedule, trainings, etc.
• Be part of a world growing and renowned organization with origins dating back to 1864.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

About You

To thrive and succeed, you have:

• Degree in Engineering, Mathematics, or Computer Science.
• Strong proficiency in Python, including libraries such as NumPy, Pandas and Scikit-learn.
• Solid foundation in applied statistics, including the series analysis, clustering, distribution analysis, and hypothesis testing.
• Practical experience with machine learning algorithms, especially clustering, regression and boosting methods (e.g. XGBoost, LightGBM, CatBoost).
• Experience in hyperparameter tuning and model performance optimization.
• Hands-on experience with time series modeling and analysis.
• Working knowledge of databases such as MongoDB, ClickHouse, or PostgreSQL.
• Proficient in Git for version control and collaborative development.
  
  

Will Be a Plus

• Familiarity with AutoML tools to streamline model development.
• Basic Knowledge of Kuberflow for orchestrating machine learning workflows.
• Experience with cloud platforms (Kubernetes, AWS, Azure) and containerization tools like Docker is a plus.
• Prior experience int he renewable energy domain is a strong advantage.
• Deep learning techniques and frameworks such as TensorFlow or PyTorch is a plus.
  
  

As a person, you demonstrate strong analytical thinking, curiosity, and a problem-solving mindset. You can work both independently and collaboratively, communicating complex finding clearly to nontechnical stakeholders. A high level of attention to detail, adaptability, and a passion for continuous learning are essential, especially in fast evolving environments like renewable energy. Strong teamwork, ownership, and a proactive attitude toward challenges and innovation are key to thriving in this role.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada11 de set.

Teletreball Fintech Machine Learning Office

Apply for this Job

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What’s the opportunity?

As our Data Science Team Leader, you'll be in charge of leading a data science team and the models, analyses, and data products that team owns. Your team will build high-impact, scalable, production-grade machine learning models and data solutions. You will be leading a talented data science team that works on mission-critical business problems with big customers like Netflix, Amazon, Nike, Facebook & more! The different members of the team will report directly to you, and you will be involved in helping develop their careers within the company.

What do we offer?

Benefits

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

• Remote work: work from anywhere or one of our offices around the globe!*
• Flexibility: we have flexible schedules and we are driven by performance.
• Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.
• Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.
• Learning & development: get access to a Premium Coursera subscription.
• Language classes: we provide free English, Spanish, or Portuguese classes.
• Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
• dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
• For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required
  
  

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage , Linkedin , Instagram , and Youtube for more about dLocal!

Apply for this Job

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 de set.

Git Machine Learning

¡En @Ayesa crecemos juntos! 🚀 ✨

Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 14.000 personas trabajando con el mismo objetivo en más de 40 países.

Si eres una persona entusiasta, te apasiona la #tecnología y buscas un nuevo reto profesional ¡Este es tu sitio!

Estamos buscando un/a Data Scientist PySpark & Machine Learning en modalidad híbrida en Madrid.

¡Anímate a dar el salto! ¡Te estamos esperando!

Funciones:

• Explorar, limpiar, transformar y preparar datos desde diferentes fuentes.
• Implementar y entrenar modelos de Machine Learning para resolver problemas reales
• Evaluar y optimizar modelos mediante métricas adecuadas.
• Documentar el proceso y resultados de los experimentos realizados.
• Colaborar con otros perfiles técnicos en el uso de Git para control de versiones y trabajo en equipo.

Requisitos:

• Experiencia previa en tratamiento de datos (exploración, carga, procesamiento).
• Conocimiento y experiencia en entrenamiento de modelos de Machine Learning.
• Dominio de librerías de ciencia de datos como scikit-learn, Keras, Pandas, NumPy, entre otras.
• Familiaridad con herramientas de control de versiones como Git.

Te ofrecemos un camino lleno de aventuras:

🔹 ¡Llega hasta donde tú quieras! Crece con nuestros programas de desarrollo! Te ayudaremos a marcar tu itinerario de futuro anualmente participando en proyectos vanguardistas con los mejores profesionales del sector.

🔹 Porque lo importante sois tú y los tuyos : contamos con políticas que facilitan la conciliación entre la vida profesional y personal: Flexibilidad horaria, Smart Job y jornada intensiva en verano.

🔹 Tú decides cómo usar tu dinero: disfruta de nuestra retribución flexible, contamos con: Seguro médico, Ticket Restaurant, Guardería y Transporte.

🔹 Plan Bienestar descuentos en viajes, tecnología, formación, deporte, belleza y ¡muchos más.

🔹 Diviértete participando en los diferentes concursos y actividades que organizamos: ¿te gusta el deporte, escribir, la fotografía? Todo tiene cabida.

🔹¡Actualízate! apostamos por un aprendizaje continuo, contamos con formación especializada, certificaciones e idiomas.

🔹¡Deja tu huella! Impacta con nuestros proyectos de voluntariado social.

¡Únete a la multinacional española tecnológica referente en el mundo! 💫🌎

Atendiendo a la Ley Orgánica 3/2007, de 22 de marzo, Ayesa se ha marcado como objetivo promover la defensa y aplicación efectiva del principio de igualdad entre hombres y mujeres, evitando cualquier tipo de discriminación laboral por razón de sexo, garantizando así las mismas oportunidades de ingreso.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 de set.

Python Fintech Machine Learning

Ubicaciones posibles: Madrid, Barcelona, Jaén, Granada, Córdoba, Málaga, Sevilla o Almería

Modalidad de trabajo: híbrida

Contrato: indefinido, proyecto estable en sector fintech

¿Quiénes somos?

En KENOS Technology acompañamos la transformación digital de empresas del sector financiero-tecnológico, aportando innovación en datos, analítica avanzada y machine learning. Buscamos personas talentosas que quieran crecer con nosotros y aportar valor real desde el primer día.

¿A quién buscamos?

Un/a Data Scientist con al menos 2 años de experiencia que quiera implicarse en un proyecto fintech con retos técnicos relevantes y posibilidades de expansión profesional.

Tus responsabilidades incluirán:

• Diseñar y desarrollar modelos predictivos y de clasificación usando Python y librerías modernas de Machine Learning.
• Extraer, limpiar y transformar datos para su análisis (ETL, pipelines, gestión de datos faltantes, feature engineering, etc.).
• Aplicar técnicas de analítica avanzada para resolver desafíos reales del negocio, proponiendo hipótesis, generando estadísticos descriptivos y evaluando resultados.
• Colaborar con equipos multidisciplinares (riesgos, negocio, tecnología), traduciendo las necesidades del negocio a soluciones basadas en datos.
• Apoyar en la monitorización de modelos, propagación de errores y puesta en producción.

Lo que valoramos (y te ayudará a destacar)

• Dominio de Python y experiencia trabajando con librerías de ML/analítica avanzada (scikit-learn, pandas, NumPy, etc.).
• Buen bagaje en la construcción de pipelines de datos y procesamiento de datos para modelado.
• Experiencia previa en sector fintech o financiera, especialmente en riesgos.
• Conocimiento o experiencia en ALM (Asset Liability Management).
• Inglés hablado/escrito de nivel mínimo B1 (y ganas de mejorarlo).

Qué te ofrecemos

• Contrato indefinido en un entorno estable, con proyección de crecimiento profesional.
• Modelo de trabajo híbrido con flexibilidad, en distintas ubicaciones de España.
• Formación continua: tecnológica, certificaciones, idiomas.
• Paquete de compensación flexible (beneficios sociales como restaurante, transporte, seguro médico, guardería).
• Bonus por referidos: si recomiendas talento, lo agradecemos.

¿Te interesa?

Si te motiva trabajar con datos en un entorno dinámico, resolver problemas reales del sector financiero y seguir creciendo profesionalmente, nos encantaría que te unas a nuestro equipo.