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

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada28 de gen.

Python

Buscamos 6 Data Scientists de nivel MID para incorporarse a un proyecto estable y de alto componente técnico, enfocado en optimización matemática y algoritmos de decisión aplicados a problemas reales de negocio.

El rol está orientado a profesionales con experiencia en metaheurísticas, modelado matemático y programación en Python, capaces de transformar problemas complejos en soluciones eficientes y escalables.

Requisitos mínimos
• 3–4 años de experiencia en Data Science, Optimización o roles similares.
• Titulación en Investigación Operativa, Matemáticas Aplicadas, Informática o similar.
• Experiencia práctica con técnicas de optimización metaheurística, tales como:
o Algoritmos Genéticos
o Particle Swarm Optimization (PSO)
o Simulated Annealing (SA)
• Capacidad para modelar problemas de negocio, definir funciones objetivo y restricciones.
• Dominio de Python y librerías de ciencia de datos:
o Pandas, NumPy, Scikit-learn, Scipy
• Experiencia con librerías de optimización:
o PuLP, Pyomo
o Frameworks como DEAP, Optuna o Mealpy
• Conocimientos en programación por restricciones y reglas de negocio.
• Inglés nivel C1 (no se requiere certificación; se evaluará en entrevista).
• Disponibilidad para trabajar 2 días por semana presencialmente en Viladecans.

Requisitos valorables
• Experiencia en proyectos de optimización aplicada a entornos productivos.
• Integración de modelos de optimización en APIs o pipelines de datos.
• Capacidad de comunicación con perfiles no técnicos.
• Experiencia previa en entornos de cliente final.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada22 de gen.

. Python Azure Cloud Coumputing R Machine Learning

Data Scientist – Commercial:

About the role:

We’re looking for a Data Scientist - Commercial to help shape and deliver high‑impact data science solutions that drive real business outcomes. In this hands‑on role, you’ll work closely with the Lead Data Scientist and commercial stakeholders to translate business questions into robust analytical models, with a strong focus on Bayesian techniques, machine learning, and market mix modelling.

This role is ideal for someone who enjoys applying advanced analytics to practical commercial challenges and influencing decision‑making through data‑driven insights.

What you’ll be doing:

• Design, develop and implement commercial data science solutions, with a particular focus on Bayesian methodologies
• Build, optimise and maintain market mix models and related commercial analytics solutions
• Partner with business stakeholders to understand objectives and ensure analytics solutions deliver measurable impact
• Generate insights and recommendations using statistical analysis and machine learning techniques
• Support AI exploration initiatives by contributing to experimentation, modelling and insight generation
• Stay current with developments in Bayesian modelling, machine learning and their commercial applications
  
  

What you’ll bring:

• A Master’s degree in Statistics, Data Science or a closely related field
• Strong hands‑on experience with Bayesian modelling and advanced statistical techniques
• Experience developing market mix models or similar commercial data science solutions
• Proficiency in Python and/or R, with experience working on cloud platforms such as Databricks and Azure
• The ability to clearly communicate complex technical insights to non‑technical stakeholders
• A collaborative mindset and a passion for using data to solve real‑world business problems
  
  

Why join us?

You’ll be part of a forward‑thinking data science environment where analytics is closely tied to commercial decision‑making. This role offers the opportunity to work on meaningful, high‑visibility projects while continuing to deepen your expertise in advanced modelling techniques.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada22 de gen.

Python TSQL Machine Learning

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.

JOB DESCRIPTION

As a Data Scientist, you´ll join our Data Science team, distributed across Paris, Lyon, Barcelona, and Brussels.

The team focuses on implementing, maintaining, and continuously improving our recommender systems.

Today, we deliver personalized sales recommendations to millions of users in real time-and we´re now scaling to include hundreds of thousands of products.

You will design and experiment with algorithms that power personalized recommendations across millions of users. Y

ou´ll work with large-scale behavioral and product data to build models that increase engagement and conversion, collaborating closely with ML and Data Engineers to move your ideas to production.

Responsibilities:
- Design, train, and evaluate recommender system models using state-of-the-art ML techniques.
- Conduct in-depth data exploration and feature engineering to extract actionable insights.
- Perform offline experiments and A/B tests to validate model impact on key business metrics.
- Collaborate with ML Engineers to ensure smooth model deployment and monitoring.
- Present findings and new approaches during Data Science Demos.

Requirements:
- Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.)Proficiency in SQL.
- Foundational knowledge of Machine Learning.
- Experience working with Machine Learning libraries (XGBoost, LightGBM, TensorFlow, PyTorch).
- Solid understanding of statistics, evaluation metrics, and experimentation design.
- Prior experience with recommender systems or e-commerce is a strong plus.
- Strong verbal and written English communication.

BENEFITS
- Be part of a dynamic and international team!
- Flexible schedule
- Team buildings & afterworks

RECRUITMENT PROCESS
- 1 HR Interview
- 2 Technical Interview
- 3 Team ITW

All our positions are open to people with health conditions or impairments.

We are convinced that it is up to you to define the way you work, to develop yourself and to progress. At Veepee we guarantee that you can just be yourself! For the service of diversity and inclusion, Veepee is committed to reviewing all applications received on an equal basis.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps parcial
• Publicada21 de gen.

. 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
  
  

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada15 de gen.

Python Azure Cloud Coumputing Git Spark Machine Learning Office

Are you ready to turn complex data into real-world impact? At randstad digital, we are looking for a visionary Senior Data Scientist to join an Advanced Analytics team in Barcelona. If you are passionate about using cutting-edge AI to shape the future of food safety, research, and sales, we want to meet you!"

our client

Danone is a global leader in the food and beverage industry, dedicated to bringing health through food to as many people as possible. By joining Danone´s team, you become part of a culture that values innovation and sustainability. You¿ll work within a world-class Advanced Analytics department where data isn´t just numbers, it¿s the key to unlocking better nutrition and smarter business decisions across the globe.

your functions

In this role, you won´t just be building models; you¿ll be the bridge between data science and business transformation. Your day-to-day will involve:

* Designing & Deploying Solutions: Lead the creation of ML and AI solutions for Research & Innovation, Quality, and Sales.
* Model Development: Build and validate advanced models using CatBoost, XGBoost, and Deep Learning for forecasting and recommendations.
* Driving Innovation: Explore the "next big thing," from Generative AI to Reinforcement Learning, to solve complex business challenges.
* Causal Inference: Design experiments and apply causal inference techniques to measure the true impact of our interventions.
* Collaboration & Strategy: Partner with data engineers on scalable architectures and ensure your insights are actionable for stakeholders in Marketing, Ops, and R&I.
* Mentorship: Share your expertise by guiding junior data scientists and championing best practices in coding and model governance

position requisites
- Formación: Grado: Grado en Informática y Servicios
- Idiomas: Inglés: C1
- Conocimientos: python, azure, deep learning, aplicación de modelos de machine learning
- Experiencia: 7 años

We are looking for a seasoned professional who thrives in fast-paced environments and loves to "get their hands dirty" with data.

* Experience: You have over 7 years of experience in Data Science, preferably in a Senior role. Experience in the FMCG industry is a huge plus!.
* Education: You hold an MSc or PhD in Computer Science, Applied Math, Statistics, or a related field.
* Technical Stack: You are a pro in Python (Pandas, Numpy), Spark, and Git.
* Tools: Hands-on experience with Databricks, MLFlow, and Cloud infrastructure (Azure is a bonus).
* Data Mastery: Deep understanding of supervised/unsupervised learning, statistics, and optimization.
* Soft Skills: You can translate complex statistical results into clear stories for any audience and can manage multiple priorities with ease.
* Language: Fluency in English is a must.

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)

* Ready to lead the data revolution at Danone? Apply now and let¿s build the future together!

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de gen.

PHP Python TSQL R

¿Eres un apasionad@ del mundo IT y te interesa seguir desarrollando tu carrera como Mid Data Scientist en proyectos estables?

our client

Randstad Digital es la empresa de consultoría tecnológica del grupo Randstad especializada en servicios tecnológicos estables. Estamos presentes en más de 20 mercados y contamos con más de 25.000 especialistas a nivel global y a nivel nacional con más de 400 y tenemos oficinas en Madrid, Barcelona, Valencia, Sevilla, Zaragoza, Bilbao y Valladolid. Ofrecemos una amplia gama de servicios y soluciones tecnológicas para empresas de diferentes sectores: Banca, Seguros, Industria, Telecomunicaciones, Media, Digital, Aeronáutica, Automoción, Servicios y Administraciones públicas.

your functions

1.Optimization Algorithms:
Develop and implement classical and metaheuristic optimization algorithms such as Genetic Algorithms (GA), PSO, SA, etc.
Solve complex mathematical problems by designing and implementing custom optimization solutions.

2.Problem Modeling:
Translate complex business rules into mathematical constraints for optimization problems.
Collaborate with stakeholders to understand requirements and design solutions tailored to specific operational challenges 3.Data Analysis and Preprocessing:
Collect, clean, and preprocess data from multiple sources to prepare it for optimization and analysis.
Identify patterns and insights within data to improve the performance of optimization models.

4.Algorithm Performance Evaluation:
Evaluate and fine-tune optimization algorithms to ensure they meet performance criteria.
Perform sensitivity analyses to understand the impact of various constraints and parameters.

5.Collaboration and Communication:
Work closely with product delivery teams to productionize optimization models.
Communicate results and implications of optimization models to senior leaders and stakeholders.

position requisites
- Formación: Grado: Grado en Ingeniería Informática
- Idiomas: Inglés: B2
- Conocimientos: ¿ lenguajes de programación php, sql, python, cob
- Experiencia: 4 años

Bachelor¿s or Master¿s degree in operations research, applied mathematics, computer science, or a related field.
Minimum of 3-4 years of experience in optimization or a related role.
Strong experience with metaheuristic optimization techniques (e.g., Genetic Algorithms, PSO, SA).
Proven ability to translate complex mathematical problems into actionable optimization algorithms.
Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn , Scipy), as well as optimization-focused libraries like PuLP, Pyomo, and metaheuristic frameworks such as Mealpy,DEAP and Optuna.
Strong understanding of business rule modeling and constraint programming.
Proficiency in programming languages such as Python or R.
English fluency

your benefits

¿A qué esperas para formar parte de nuestro gran equipo Randstad Digital?, aquí encontrarás motivos para ello: PLAN DE FORMACIÓN CONTINUA, plan de formación anual, acceso a plataforma elearning de formación técnica, plataforma de formación en habilidades¿ ACOMPAÑAMIENTO Y PLAN DE CARRERA, Tendrás un referente de Randstad Digital cerca de ti en todo momento. CONCILIACIÓN, Sabemos que tu vida personal es tan importante como la profesional por eso podrás disfrutar de 23 días de vacaciones y en la mayoría de nuestros proyectos tendrás un horario flexible. COMPROMISO y ESTABILIDAD, Incorporación a empresa en continuo crecimiento que apuesta por las nuevas tecnologías. SALARIO COMPETITIVO acorde a tu experiencia profesional. CONDICIONES contractuales competitivas, Plan de retribución flexible (tarjeta restaurante y cheques guardería) y Randstad Care, plataforma de ofertas y descuentos exclusivos.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada3 de gen.

. 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!