Ofertes d'ocupació de Científic/a de Dades a Barcelona

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

. Python TSQL R Machine Learning

Como uno de nuestros Data Scientists de Juegos

Serás una de las personas clave que ayuda a transformar preguntas de negocio en insights accionables. Investigarás y analizarás el comportamiento de los jugadores para generar recomendaciones basadas en datos. Para ello, escucharás a los distintos miembros del equipo, comprenderás el contexto y cuestionarás ideas de negocio cuando sea necesario.

Nuestros Data Scientists utilizan una amplia variedad de técnicas, como estadística frecuentista y bayesiana, machine learning, análisis exploratorio y explicativo de datos, inferencia causal, visualización de datos, modelización Monte Carlo, análisis econométrico, entre otras. La amplitud de estas responsabilidades requiere una gran capacidad de aprendizaje, eficiencia en el trabajo colaborativo y habilidad para comunicar datos e insights de forma clara y efectiva.

Los Data Scientists de Juegos son profesionales que impulsan la toma de decisiones de negocio mediante el uso de datos y análisis profundos.

Tendrás la oportunidad de trabajar con conjuntos de datos grandes y complejos, disfrutando de la autonomía necesaria para generar un impacto significativo en el éxito de nuestros juegos. Además, formarás parte de un equipo experimentado y altamente cualificado de aproximadamente 20 profesionales, con múltiples oportunidades de aprendizaje y desarrollo.

Qué harás

• Colaborar con los stakeholders para entender y definir los requisitos de análisis.
• Realizar análisis exploratorios de datos y convertir los hallazgos en preguntas que puedan responderse mediante técnicas analíticas.
• Utilizar analítica avanzada, métodos estadísticos, inferencia causal, machine learning u otras técnicas para responder preguntas y resolver problemas de negocio.
• Comunicar los resultados de forma clara y efectiva.
• Gestionar requisitos poco definidos o ambiguos.
• Explicar análisis complejos e ideas técnicas de manera sencilla y comprensible.
• Trabajar de forma autónoma en proyectos complejos.
• Mantener una actitud de aprendizaje continuo, adquiriendo nuevas habilidades y metodologías relacionadas con la ciencia de datos, la comunicación o la gestión de stakeholders.
• Utilizar una amplia variedad de herramientas y enfoques de ciencia de datos.
  
  

Qué buscamos

• Titulación universitaria o experiencia equivalente en un área orientada a los datos.
• Capacidad para utilizar técnicas de visualización de datos con el fin de comunicar análisis e insights de manera efectiva.
• Experiencia utilizando alguna de las siguientes disciplinas para responder preguntas de negocio o científicas: estadística, matemáticas, machine learning, econometría, inferencia causal, modelización Monte Carlo, entre otras.
• Experiencia trabajando con R y/o Python.
• Conocimientos y experiencia en SQL.
  
  

¿Por qué Product Madness?

Como parte de la familia Aristocrat, compartimos su misión de llenar de alegría la vida gracias al poder del juego, con un equipo de primer nivel que crea títulos líderes y de mayor recaudación en el género de casino social, entre ellos Heart of Vegas, Lightning Link y Cashman Casino.

Con un equipo global de 800 personas, Product Madness tiene su sede en Londres, y oficinas en Barcelona, Gdańsk, Lviv, Montreal y un equipo remoto en Estados Unidos, lo que nos convierte en una auténtica potencia global.

Nos guiamos por nuestro principio de “Las personas primero”. Independientemente de dónde, cuándo o cómo trabajen, los miembros de nuestro equipo tienen oportunidades para avanzar en su carrera profesional y crecer con nosotros. Nos enorgullece fomentar una cultura inclusiva, en la que se anima a cada persona a dar lo mejor de sí misma cada día.

Pero no confíes solo en nuestra palabra. En 2024, fuimos incluidos en la lista de los Global Inspiring Workplace Awards y recibimos un premio de bronce en los Stevies for Great Employers, en la categoría de “Empleador del año - Medios de comunicación y entretenimiento”.

Disponibilidad para viajar

Ninguna

Información adicional

En este momento, no podemos tramitar visados de trabajo para este puesto. Los candidatos deben tener permiso para trabajar a tiempo completo en el país donde se ofrece la vacante, sin necesidad de visado ahora ni en el futuro.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada8 de jul.

Teletreball . Excel Office

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.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

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

• Design and improve data pipelines. Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
• Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
• Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
• Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
• Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.
  
  

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.
• 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.
• Competitive pay and access to company equity at a discounted price. Typically, we offer individuals with limited experience 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.
  
  

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

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

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

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please 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 expect you to spend most days in our Milan office during your first few months with us, 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 one of our offices, 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.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada6 de jul.

. Python NoSQL Linux Docker Cloud Coumputing Kubernetes Git REST Bash

Company Description

T‑Systems is part of the Deutsche Telekom Group, with around 30.000 employees worldwide. We create technology with purpose to generate a positive impact on society. We are looking for curious talent, eager to learn, take on challenges, and contribute ideas that transform our customers’ experience.

We trust people: we offer autonomy, continuous support, and a collaborative environment where you can grow without limits. We are one global team, guided by respect, integrity, and a passion for doing better every day.

Job Description

Project Description:

We develop scalable data solutions for internal customers with a strong focus on self-service capabilities and automation. Our goal is to enable customers to create and extend their own use cases through standardized data onboarding processes and reusable solution building blocks.

Activity Description And Concrete Tasks

• Design and implement scalable data solutions for internal customer use cases
• Partner with stakeholders to understand business challenges, translate them into technical solutions, and pressent results
• Develop reusable and scalable solution architectures instead of isolated proof-of-concept implementations
• Build, optimize, and maintain ETL workflows, data pipelines, and onboarding processes for new data sources
• Drive automation and continuously improve self-service capabilities for internal customers
• Develop and maintain GitLab-based CI/CD pipelines for automated testing, deployment, and operational workflows
• Collaborate with cross-functional teams including operations (SMOPS), security, connectivity, and internal customer teams
  
  

Qualifications

Skill requirements:

• Background in Data Science, Software Engineering, or Data Engineering
• Experience with Databases, preferably NoSQL systems
• Understanding of REST APIs and JSON-based data structure
• Advanced proficiency in Python development
• Understanding ov GIT and CI/CD workflows
• Kubernetes and Docker deployments
• Basic Linux and Bash knowledge
• Familiarity with cloud computing environments and services
  
  

Tools & Platforms

• Python
• ETL & Data Pipelines
• Git
• Bash
• Clean Coding
• CICD Automation GitOps
• Linux
• Kubernetes
• Docker
  
  

Additional Information

What do we offer you?

Work environment & flexibility

• International, dynamic and collaborative environment.
• T-Social: social initiatives (sports, community, health, ...).
• Hybrid work model (remote/on-site).
• Flexible working hours.
• Growth & development.
• Customized training: access to Coursera to learn whatever you want, whenever you want.
• Weekly language classes (English & German).
• International Mentoring Sessions & Experience Days.
  
  

Compensation & Benefits

• Flexible compensation plan (health insurance, meal vouchers, childcare, transport).
• Telemedicine.
• Life and accident insurance.
• Social fund.
  
  

Wellbeing & time off

• 26+ working days of vacation per year
• Free access to specialist services (medical, legal, wellness)
• 100% salary coverage during medical leave.
  
  

And many more advantages of being part of T-Systems!

If you are looking for a new challenge, do not hesitate to send us your CV! Please send CV in English. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada30 de juny

. AWS Machine Learning

Intégré à l’équipe du Data & IA Hub, vous rejoindrez une jeune équipe composée de Data Scientists, Data Engineers et ML Engineers.

Vous travaillerez sur deux missions principales :

• En mode projet, vous participerez au pilotage de A à Z de projets finaux : collecte des données, pipeline de prétraitement, modélisation et déploiement. Vous contribuerez au développement des 4 axes principaux du groupe :
• Inspection 4.0 : développements d’algorithmes de computer vision et NLP en soutien aux experts métiers sur le terrain
• Assistants SOCOTEC : développement d’agents personnalisés pour les services du groupe (RAG, text-to-SQL, …)
• IA+X pour des nouveaux services : développement de technique d’hybridation entre physique et IA (jumeau numérique, PINN)
• Extraction d’information à partir de documents et de plans
• Vous choisirez un sujet de R&D pour vous confronter à l’état de l’art du domaine avec des possibilités de publication scientifique. Les sujets sont présentés et détaillés ci-après:
• Inspection 4.0 : Machine learning appliqué à l’inspection des ouvrages d’art
• Détection de presque accident sur chantier assitée par IA : EPILOG
• Auto-completion de contenu technique pour assister à la rédaction des rapports
• Agent de génération de rapport avec canevas intégré dans une plateforme LLM
• Agent de Knowledge Management (AXONE IA, RESOTECH IA) employés des techniques de RAG avancés
• Smart speech-to-text : transcription et extraction intelligente d'informations avec des LLMs

Le travail sera fait en collaboration avec une équipe de développeurs pour développer les modèles et héberger les livrables sur une plateforme web AWS.

Un niveau courant en Espagnol et en Anglais sont nécessaires à l'accomplissement des missions.

Vous ferez preuve d’autonomie, de sagacité et de qualités certaines dans la rédaction et la communication de son code.