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

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

. Python Azure Cloud Coumputing

En Sabadell Zurich formarás parte del equipo de Pricing y Analytics con el objetivo de optimizar la estrategia tarifaria mediante modelización avanzada y análisis técnico que impacte directamente en rentabilidad y retención. Liderarás el desarrollo, recalibración y validación de modelos GLM de frecuencia, severidad y otros modelos para los principales ramos de seguros generales, utilizando WTW Radar / Emblem / Python.

Tu contribución será clave para llevar a cabo el ciclo completo de modelización: desde la exploración y preparación de datos hasta la presentación y defensa técnica de resultados ante el manager y, cuando sea necesario, ante dirección, trabajando siempre en un entorno colaborativo, diverso y orientado a negocio.

Además, participarás en iniciativas de analítica avanzada relacionadas con:

• Evolución de caídas, renovaciones, conversión y siniestralidad.
• Optimización de renovaciones y análisis de retención.
• Replicación y control de tarifaria en Radar.
• Estudios ad‑hoc que respalden decisiones de Producto y dirección técnica.
  
  

Por otro lado, Colaborarás estrechamente con los equipos de Producto y Siniestros para asegurar que los modelos y tarifas reflejan tendencias técnicas y las necesidades del negocio. Aunque la implementación final se gestiona desde otra área, tendrás un rol clave en asegurar la consistencia entre el modelo técnico y el operativo.

¿Qué necesitamos de ti?

Buscamos a una persona con experiencia demostrada en pricing de seguros generales, capaz de trabajar con autonomía en el corto plazo y de aportar criterio técnico propio.

Para tener éxito, necesitarás:

Experiencia y conocimientos esenciales

• Licenciatura o Grado en Actuariales, Matemáticas, Estadística, Física o equivalentes.
• Mínimo de 5 Años de experiencia en posiciones similares.
• Nivel intermedio de Ingles (B2)
• Dominio práctico de herramientas para modelización y control de tarifas.
• Conocimientos sólidos en GLM de frecuencia y severidad, distribuciones (Poisson, Gamma, Tweedie), testing y validación.
• Manejo fluido de Python (pandas, numpy, statsmodels, scikit‑learn).
• Experiencia analizando métricas clave del negocio asegurador: caídas, conversión, renovaciones, siniestralidad, elasticidades y retención.
• Entendimiento práctico de la dinámica entre pricing técnico y comercial.
  
  

Qué marcará la diferencia en tu perfil

• Capacidad de comunicar y argumentar decisiones tarifarias ante diferentes interlocutores técnicos y de negocio.
• Pensamiento analítico rigoroso, orientación a negocio y atención al detalle.
• Capacidad para trabajar en varios ramos y compartir conocimiento dentro del equipo.
• Sensibilidad para entender cómo las variables impactan la tarifa final y detectar inconsistencias entre modelo técnico y sistema.
  
  

Valorables

• Capacidad de generar un GLM end‑to‑end sin supervisión constante.
• Experiencia en optimización de renovaciones o uplift modeling.
• Conocimientos de arquitecturas cloud (Azure, Databricks) o procesos de MLOps básicos.
• Experiencia en otros ramos o productos con estructuras tarifarias compleja
  
  

¿Qué te ofrecemos?

• Modelo híbrido y flexibilidad tras el primer mes de tu incorporación
• Seguro de salud y ventajas exclusivas
• Retribución flexible
• Acceso a formación continua y plan de desarrollo
• 26 días de vacaciones + día de cumpleaños
• Beneficios sociales y entorno inclusivo
  
  

Sobre nosotros

Sabadell Zurich es la alianza entre Banco Sabadell y Zurich Insurance Group. Somos más de 350 profesionales en España con un propósito común: Estar para cuidar.

Promovemos un entorno inclusivo basado en la igualdad de oportunidades, sin discriminación por género, edad, origen, discapacidad, orientación sexual u otras circunstancias personales.

Si buscas un entorno exigente, colaborativo y con impacto real en negocio, queremos conocerte.

En Sabadell Zurich, el talento se convierte en valor.

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

. TSQL Machine Learning Word

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics.

You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.

What You'll Do

• Discuss with stakeholders requirements for analysis
• Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
• Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems
• Communicate results clearly and effectively
• Take care of unclear and ambiguous requirements
• Communicate complex ideas and analyses in a simple way
• Work independently on complex projects
• Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science
• Be able to use diverse data science tools and approaches
  
  

What We're Looking For

• A degree or equivalent work experience in data driven field
• Ability to use visualization techniques for communicating data and analysis
• Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc.
• R/Python experience
• Knowledge and experience of SQL
  
  

Why Product Madness?

As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.

So, what’s stopping you?

Travel Expectations

None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Why Product Madness?

As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.

We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.

So, what’s stopping you?

Travel Expectations

None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

• 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.