Ofertas de empleo de Científico/a de Datos en Barcelona

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 feb.

Teletrabajo . Python

En Mango vestimos de pasión todo lo que hacemos. Con origen en Barcelona y presencia en más de 120 países, inspiramos al mundo con creatividad, innovación y autenticidad.

Nuestro equipo multicultural es el motor de nuestro éxito. Nos enorgullece llevar la moda más allá, conectando nuestro estilo único con personas de todo el mundo.

Estamos buscando un/a Senior Data Scientist para unirse a nuestro equipo de Data & Advanced Analytics. Formarás parte del equipo que impulsa la logística y optimización de la cadena de suministro de Mango, basado en nuestro almacén principal en Lliçà d'Amunt.

SOBRE MANGO

En Mango nos inspira y une nuestra pasión por el estilo y la cultura. Estamos presentes en 118 países y nuestra presencia online se extiende a más de 80 países. Nuestro equipo está formado por personas de 112 nacionalidades, de las cuales el 80% son mujeres. Somos dinámicos, motivados por las nuevas tecnologías, con ganas de asumir grandes retos.

TU NUEVO ROL

Como Senior Data Scientist, liderarás proyectos desde su concepción hasta su implementación operativa. Trabajarás estrechamente con los equipos de logística y operaciones, desarrollando soluciones basadas en datos para mejorar la eficiencia y tomar decisiones estratégicas. Utilizarás Python para desarrollar simuladores y optimizadores que nos ayuden a enfrentar retos complejos.

Proyectos Potenciales

• Diseño y optimización de redes logísticas.
• Optimización de rutas de picking.
• Desarrollo de asistentes de empaquetado para operaciones B2C.
• Simulación de recursos logísticos mediante SimPy y técnicas avanzadas.
• Predicción de demanda para optimización de recursos.
  
  

Colaborarás con equipos multidisciplinares integrando datos de varias áreas del almacén, ofreciendo una visión global y precisa de nuestras operaciones.

SOBRE TI

• Al menos 4 años de experiencia como Data Scientist.
• Grado o Máster en Ciencias de Datos, Inteligencia artificial, Informática, Matemáticas, u otros campos cuantitativos.
• Experiencia destacada en ciencia de datos aplicada a la cadena de suministro.
• Experiencia en Python para simuladores y optimización.
• Habilidad para liderar proyectos de principio a fin, con excelentes habilidades de comunicación y colaboración multidisciplinaria.
• Persona proactiva y comprometida, con interés en innovación y mejoras continuas.
  
  

TUS BENEFICIOS

• Incorporación inmediata con contrato indefinido.
• Ofrecemos horario flexible (puedes entrar de 8 a 9.30 y salir de 17 a 18.30) con jornada intensiva todos los viernes (puedes entrar de 8 a 9 y salir de 14 a 15) y la mayoría de las vigilias de festivos
• Nuestras oficinas se encuentran en Palau- Solita i Plegamans.
• Posibilidad de teletrabajo en un 50%.
• 35% de descuento en todas nuestras líneas
• Te podrás formar a nivel técnico en plataformas como O'Reilly, entre otras, así como en idiomas, y en habilidades para tu desarrollo personal. Te acompañamos para que sigas creciendo a nivel profesional y personal!
• Política de referrals, podrás participar en la incorporación de talento a nuestros equipos, ¡y te recompensaremos por ello!
• Transporte gratuito de empresa desde Barcelona y el Vallès para llegar a nuestras oficinas centrales
• Sala de fitness y vestuarios por si te gusta hacer deporte en tu tiempo libre en las oficinas centrales.
• Workshops, meetups, comunidades de prácticas, team buildings y company meetings
• Paquete de retribución flexible con ventajas fiscales: seguro médico, formación, descuento comedor, guarderías etc
• Servicio de comedor y cocina en las instalaciones de la central. La empresa subvenciona parte del menú diario, así como los artículos de cafetería.
• Servicio médico propio en las instalaciones de la central.
• Formarás parte de una empresa líder en el sector de la moda, dinámica, en plena innovación, con gran concienciación y realizando acciones hacia la sostenibilidad
• Ambiente de trabajo cercano, inspirador y ambicioso, trabajarás con un gran equipo que va en la misma dirección para conseguir los mejores resultados
• Oportunidades constantes de desarrollo con retos muy variados que generan aprendizaje en el puesto de trabajo
  
  

Taking Fashion

Further

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada9 feb.

Python Azure Cloud Coumputing Git Spark Machine Learning Office

Our client is a well known multinational food company based in Barcelona.

We are looking for a Senior Data Scientist Manager to join their Advanced Analytics team. This role will focus on designing and deploying cutting-edge machine learning and AI solutions to drive business impact across Research and Innovation, Quality and Food Safety, and Sales.
You will work on high-impact projects such as predictive modeling, causal inference, optimization, and generative AI applications to unlock insights and accelerate decision-making.

Your functions

Your mission:

- Collaborate with business partners & data project leaders to identify business needs and translate them into actionable measures
- Apply state-of-the-art algorithms and predictive models (Machine Learning/Deep Learning) to answer business problems.
- Model Development: Build, validate, and deploy advanced machine learning models (e.g., CatBoost, XGBoost, deep learning) for forecasting, optimization, and recommendation systems.
- Causal Inference & Experimentation: Apply causal inference techniques and design experiments to measure the impact of interventions.
- Data Strategy: Partner with data engineers to ensure robust data pipelines and scalable architectures.
- Business Impact: Translate complex analytics into actionable insights for stakeholders in business like QFS, R&I, Ops, Sales, Marketing.
- Innovation: Explore and implement state-of-the-art AI techniques (e.g., generative AI, reinforcement learning) to solve business challenges.
- Mentorship: Guide junior data scientists and foster best practices in coding, model governance, and documentation.

Position requisites

- Formación: Grado en Informática y Servicios
- Idiomas: Inglés: C1
- Conocimientos: python, machine learning, ia, deep learning, databricks, data scientist, statistics
- Experiencia: 7 años

*We are looking for people having the following technical skills*
- Programming: python (pandas, numpy), Spark, Git
- Modeling: supervised & unsupervised learning
- Infrastructure: Cloud (Azure is a plus)
- Data Science tools/modules: Databricks / MLFlow
- Solid understanding of statistics, causal inference, and optimization.

*Experience in all or several parts of Advanced Analytics process will be challenged*
- Explore the potential of a raw data set
- Build relevant and performant models and analyses
- Scale, deploy and monitor industrialized projects
- Consistency of approach for a data domain/portfolio of projects

*Mandatory skills*
- Substantial experience working on full-life cycle data science project
- Ability to meet tight deadlines and work in an environment with multiple priorities.
- Excellent written and verbal communications skill. In particular, a strong proven ability to communicate statistical and modeling results in a clear manner.

Your benefits

Your benefits:
- Impact: Work on high-stakes projects like predictive modeling and GenAI that directly influence global food safety and sales.
- Innovation-Driven Environment: Get the tools and freedom to experiment with state-of-the-art algorithms.
- Professional Growth: Take on a leadership role through mentorship and the management of full-life cycle data projects.
- Prime Location: Enjoy working from our vibrant hub in Barcelona.
- Hybrid work model (3 days/week home office, 2 days/week office)
- Flexible schedule (split working day from Monday to Thursday, Friday intensive) and fresh working (July and August)
- Competitive and appealing salary and bonus
- Career development with wide access to professional development tools; trainings
- Social benefits in the health field (health insurance, gymnasium, physiotherapy), social benefits (occupational pension plan, life insurance), family assistance (school assistance, study assistance for family members, assistance for disabled family members)

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

. Python Hadoop R MATLAB Big Data

You will be working in key projects for leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects.

Requirements

• Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. A Master's degree qualification will be taken into account when determining salary conditions.
• Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
• Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.).
• Solid academic record.
• Strong computer skills.
• Knowledge of other languages is desirable.
• Get-up-and-go attitude, maturity, responsibility and strong work ethic.
• Strong ability to learn quickly.
• Able to integrate easily into multidisciplinary teams.
  
  

We Offer The best environment to develop talent

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:

• Working in the highest-profile consulting projects in the industry,
• for the largest companies, leaders of their respective markets,
• alongside top industry management as they face challenges at the national and global level,
• as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry
  
  

Ongoing training plan, with approximately 10% of business turnover spent in training

• 600 hours of training during the first two years.
• Specialist knowledge courses, external expert courses, professional skills courses and language courses.
• Last year our staff as a whole received over 400.000 hours of training spanning more than 160 courses.
• Every new joiner is enrolled in our degree in Business Consulting Management Solutions-ICADE Business School, offering a specialization in Big data and Data Science for professionals with a technological or mathematical background.
  
  

Clearly defined career plan

• Internal promotion based solely on merit.
• Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.
  
  

Complementary experiencies

• University: we maintain a close relationship with the world’s most prestigious universities.
• Social Action: we organize more than 30 community support activities.
• Sports Club: internal and external tournaments.
  
  

For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: www.managementsolutions.com

At Management Solutions we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo parcial
• Publicada21 ene.

. Python TSQL Machine Learning

We Are Waiting for You

Hi there future intern!

I am Alba Marin the recruiter for this position (and hopefully, your future colleague!).

First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at Zurich!

Let me take a wild guess: you’ve probably sifted through countless job offers today, and they all seem to blur together. Sound familiar? Well, here’s the scoop: At Zurich, we might not have all the answers (and we’re not striving for perfection!), but we’ve got something special. Curious? Keep reading!

First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier.

Who Are We?

Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units.

In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.

If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.

What can you expect?

And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked – I asked myself the same question at the time.

As a Data Scientist Intern – Data Platform & AI you will have the opportunity to:.

• Collaborate with platform and solution engineers to design and develop new data platform features
• Build and prototype data-driven logic for automated classification, detection, and quality assessment
• Analyze structured and semi-structured datasets to validate feature behavior and performance
• Implement and test algorithms, rules, and heuristics to improve accuracy and reliability
• Support integration of data science components into existing platform services and pipelines
• Evaluate results, identify edge cases, and iterate to reduce errors and improve robustness
• Contribute to documentation, technical specifications, and knowledge sharing
• Work alongside experts in various technological domains.
• Enhance your skills with real-world experience
• Contribute to a team that values your input and creativity
  
  

What Makes You a great Fit?

While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team. We are waiting for you!

• Currently pursuing or recently completed a degree in Data Science, Computer Science, AI, or a related field
• Strong Python fundamentals and ability to write clean, maintainable code
• Solid understanding of data structures, schemas, and common data formats
• Basic knowledge of machine learning, statistics, and classification concepts
• Experience with SQL and data exploration techniques
• Ability to design and reason about deterministic logic such as rules, heuristics, and pattern matching
• Familiarity with version control and collaborative development workflows
• Analytical mindset, attention to detail, and comfort working with ambiguous or imperfect data
• Strong communication skills and ability to work effectively with engineers
• Active student status with a Spanish University/School is mandatory.
• Passionate about a tech career.
• Available for at least a 6-month part-time/internship program.
• Tech-savvy with a curious mind.
• Enthusiastic, capable, and eager to learn.
• A good team player with a responsible, can-do attitude.
  
  

And… What Makes Us Special?

• Paid Internship, up to 30 hours weekly with a flexible schedule.
• LinkedIn and internal training opportunities.
• Special discounts on various brands and products, plus great banking and insurance conditions.
• A welcome pack filled with amazing gadgets.
• A dynamic workspace with tasty coffee and fruit and featuring gaming, gym, and other fun areas!
• Summer and Christmas events and different social clubs such as hiking, investment, beach volley and many more
  
  

Looking for a place to start or further develop your career? This is for you! Zurich offers a comprehensive career plan providing a great opportunity to build and enhance your career from the start. You will have the chance to work on global projects, guided by experts and leveraging innovative technologies. Learn from very well-known experts in the field, ensuring you gain valuable experience and knowledge.

Where Are We Located?

Barcelona, Poblenou.

We Are Waiting for You.

It’s a match? Don’t wait any longer! Apply by sending your CV in English.

If not, no worries! We’ll meet again in the future. Feel free to share this amazing opportunity with anyone you think would be a great fit.

At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.

Zurich Technology Delivery Center – Your Talent, Our Strength

You are the heart & soul of Zurich!

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.

Let’s continue to grow together!

• Location(s): ES - Barcelona
• Schedule: Part Time
• Recruiter name: Alba Marin Sola
  
  

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada7 ene.

Teletrabajo . Python TSQL Cloud Coumputing Big Data Machine Learning

¡Únete a nuestro equipo!

Buscamos un perfil junior con formación reciente en Data Science, Big Data o IA y ganas de iniciar su carrera profesional participando en proyectos reales de transformación digital en entornos industriales.

El reto consiste en desarrollar modelos analíticos, automatizar procesos basados en datos y colaborar en la construcción de soluciones avanzadas que ayuden a pymes y grandes empresas en su transición hacia la Industria 4.0.

Los principales requisitos son:

• Formación en Data Science, Ingeniería o programación.
• Conocimientos de Python para análisis y modelado (NumPy, Pandas, Scikit-learn).
• Bases de datos relacionales y SQL.
• Gobernanza de datos
• Nociones de machine learning y estadística aplicada.
• Valorable experiencia en proyectos de máster, TFM o prácticas relacionadas con IA, analítica o automatización.
• Interés en tecnologías avanzadas (ML, deep learning, cloud, MLOps).
• Desarrollo y soporte al área back y front

Las funciones de la persona seleccionada serán:

• Colaborar en el análisis, preparación y limpieza de datos procedentes de sistemas industriales (MES, SGA, QMS, GMAO…).
• Apoyar en el desarrollo de modelos de machine learning orientados a mantenimiento predictivo, calidad, optimización y planificación.
• Participar en proyectos de implementación de soluciones analíticas para clientes industriales.
• Automatización de pipelines de datos y generación de informes y visualizaciones.
• Contribuir con nuevas ideas y propuestas para mejorar los productos y servicios de analítica avanzada.

Ofrecemos:

• Horario flexible y opciones de teletrabajo.
• Proyectos innovadores con clientes líderes del sector industrial.
• Oportunidades reales de desarrollo profesional
• Formación continua
• Ambiente dinámico y colaborativo.
• Seguro médico y plan de retribución flexible.

Sobre Geprom

En Geprom tenemos oportunidades de desarrollo profesional en un entorno donde tú eres quién pone el límite a tu crecimiento.

Te ofrecemos el reto de asumir nuevas responsabilidades y participar en proyectos de gran trascendencia, mediante el desarrollo e integración de las tecnologías más avanzadas en el ámbito de la industria 4.0 y de la automatización industrial.

Geprom es una ingeniería de base tecnológica especializada en el ámbito de la automatización industrial y la transformación digital, desarrollando e integrando proyectos llave en mano en las áreas de planificación, producción, calidad, logística y mantenimiento especializados en la Industria 4.0.

En Geprom, entendemos que cada empresa, sea del tamaño que sea, pone en marcha su revolución digital de un modo único, integrando en sus modelos de negocio a personas, datos, máquinas y procesos. Sobre esta base, acompañamos a nuestros clientes ofreciendo soluciones, servicios, y productos de forma integral para hacer realidad la transformación digital y superar juntos las barreras de la cuarta revolución industrial.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada3 ene.

. Python Agile TSQL Azure Cloud Coumputing AWS LESS Machine Learning

If you’re here, it’s because you’re looking for an exciting ride.

A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.

Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 22 countries. Every year, +200k merchants generate over 4B€ in sales through our platform and over 20M customers get their goods delivered in minutes.

Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique?

🤝 Our culture and strong values.

💪 Our career development philosophy.

🤝 Our commitment to being a force for good.

We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.

YOUR MISSION

We are looking for a talented and passionate Data Scientist to join the Data team in our Barcelona HQ.

Data Science, Machine Learning, and Experimentation are key drivers of Glovo’s customer engagement strategy. Data scientists own the core models that optimize Glovo’s user retention and loyalty. These include our recommendations and personalization engines, which drive millions of euros annually in incremental revenue. As a Data Scientist, you will have the opportunity to work on projects that directly impact Glovo’s ability to maximize user engagement, retention, and overall lifetime value.

THE JOURNEY

• Develop, test, and productionize predictive and prescriptive algorithms using state-of-the-art machine learning, statistical inference, and optimization models.
• Evaluate algorithms through controlled offline and online experiments.
• Contribute to building our models for personalized recommendations.
• Work in cross-functional teams across disciplines such as product, engineering and design.
• Guide and mentor junior team members to enable fast and impactful delivery.
• Act as a reference for system architecture, influencing key technical decisions and aligning model integration with the overall platform design, ensuring reliability, low latency, and smooth integration with product features.
• Stay on top of new technologies and industry trends in data science, customer analytics, and retention strategies.
• Promote best-in-class standards, taking inspiration from industry thought leaders.
  
  

What You Will Bring To The Ride

• Deep theoretical and applied knowledge in at least one of the following areas: traditional machine learning, statistical modeling, causal inference and deep learning.
• Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes:
• Strong data modeling and SQL skills.
• Familiarity with orchestration tools (Airflow, Luigi, Dagster) and cloud infrastructures (GCP, AWS, Azure).
• Extensive experience using the Python ML and DS ecosystem.
• Excellent verbal and written communication in English, as you will use it to collaborate with stakeholders and senior management from diverse backgrounds.
• Working knowledge of agile development.
• Change management skills and adaptability in a fast-paced environment.
• Strong presentation skills in communicating with experts and non-experts alike.
  

Good To Have

• Experience in building recommendation systems at scale.
• At least an MSc, and preferably a PhD in a scientific discipline such as Computer Science, Mathematics, Statistics, Economics, or a related field.
  
  

Even if it seems you don't meet our musts, don’t let it stop you! We are all about finding the best talent out there. Skills can be learned, and embracing diversity is invaluable.

Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

We Believe Driven Talent Deserves

• 🌟 An enticing equity plan that lets you own a piece of the action.
• 💪 Top-notch private health insurance to keep you at your peak.
• 🍔 Monthly Glovo credit to satisfy your cravings!
• 💳 Discounts on transportation, food, and even kindergarten expenses.
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
• 👪 Enhanced parental leave, and office-based nursery.
• 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.
  
  

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!