Ofertas de empleo de Científico/a de Datos en Barcelona

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Gestión de proyectos Programación Inglés Ciencia de datos Física Estadística Gestión Ciencias de la computación Matemáticas PHP Python TSQL SEM Office

At Gauss & Neumann, we are looking for PhDs, MSc and BS mathematics, physics and 

engineering to work with us in our office in Andorra. We do Search Engine Marketing (SEM) 

worldwide and work for international clients. We love and breath technology and everyone at 

the company has a tech background. 

We believe that advertising on search engines (SEM) should provide perfect answers to the 

users. Gauss & Neumann creates data structures and technologies that help our clients deliver 

a perfect response to queries and provide value to search engine customers like Google or 

Bing. 

What we look for: 

Professionals with a PhD, MSc or bachelor degree in Mathematics, Physics, Computer 

Science, Software Engineering, or other engineering disciplines. We search for natural problem 

solvers with initiative that push the needle always a bit further and have the self-discipline to 

get things done. We look for people that have fun at work and create a great atmosphere with 

their teammates. We value personal attitude at the very top. 

Responsibilities: 

Design SEM keyword structures for international clients 

Create predictive algorithms for bidding in real time 

Create scripts for optimizing keyword structures 

Create technologies that disrupt the SEM industry 

Data research and visualization 

Manage campaign daily operations with large clients mainly in the United States. 

What you need to have:

Bachelor, MSc or PhD level degree in Mathematics, Physics, Computer Science or 

Software Engineering or similar engineering degree. 

Programming skills (Python, SQL, PHP, R...). 

Statistics knowledge 

Other skills we value:

English fluency (written and verbal) 

Project management experience 

Natural ability to deal with ratios and numbers 

Being up to date with programming libraries 

Willingness to learn and go beyond what's necessary. 

Why joining Gauss & Neumann: 

Gauss & Neumann provides an open environment of excellence with some of the best SEM 

professionals in the advertising industry. Most of our staff holds a PhD in Mathematics or 

Physics. G&N open culture provides unlimited vacation time, total daily autonomy, private 

insurance and the ability to run your own projects and take relevant decisions within the 

company. 

Location: 

We are looking for professionals to join our teams in Barcelona and Andorra.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada28 oct.

Teletrabajo .

Somos Banco Sabadell

Banco Sabadell es una de las principales entidades bancarias en España con más de 13.000 personas caracterizadas por nuestra implicación, espíritu de colaboración y dinamismo. Banco Sabadell ofrece sus servicios a más de 11 millones de clientes contando con una posición privilegiada en el segmento de empresas.

Nuestra razón de ser es ayudar a personas y empresas a hacer realidad sus proyectos, anticipándonos y ocupándonos de que tomen las mejores decisiones económicas, a través de nuestros valores: el compromiso, no conformismo, profesionalidad, eficacia, empatía y franqueza.

Y además, lo hacemos mediante una gestión responsable y comprometida con el medio ambiente.

¡Únete a nosotros!

¿Qué estamos buscando?

Actualmente nos encontramos en la búsqueda de nuestro/nuestra/futuro/futura Data Scientist siendo un perfil proactivo, con elevada capacidad analítica y trabajo en equipo, para formar parte de nuestra Comunidad Data, como Data Scientist- Modelos de Crédito.

La misión de la Dirección de Ratings y Scorings es principalmente la de crear, evolucionar, mantener y velar por la correcta implantación de los modelos de riesgo de crédito en Banco Sabadell, debiendo éstos cumplir con los requerimientos normativos internos y externos (regulación vigente). Se deberá por tanto representar y defender los modelos de riesgo de crédito en la relación con los supervisores externos (SSM, Banco de España, auditores externos) e internos (auditoría y validación), debiendo informar, explicar y dar respuesta a las cuestiones y debilidades presentadas referente a los modelos.

Hablemos del Proyecto...

Tus funciones como Data serán:

• Desarrollo y mantenimiento de modelos de riesgo de crédito con afectación en capital o provisiones tanto para personas jurídicas como para personas físicas.
• Análisis de impactos en la gestión del riesgo y planteamiento de soluciones adecuadas y acorde con la regulación.
• Implementación y mantenimiento de los motores de cálculo de los modelos para su posterior uso en la gestión (réplicas, controles mensuales y análisis de factores).
• Gestión, mantenimiento y control de la calidad de los datos utilizados para la modelización.
• Definición y control del mapa de uso de los modelos para cálculo de capital regulatorio.
• Desarrollo metodológico estadístico para la modelización y definición de estándares.
• Soporte e interacción con líneas de control internas (Validación y Auditoría) e inspecciones/peticiones ECB.
• Soporte a otras áreas: JST (Riesgo de crédito tanto en visitas regulares como en investigaciones), Riesgos, Financiera, Agencias de Ratings.
• Soporte a otras entidades del grupo en el ámbito metodológico y en el cumplimiento de la regulación.

¿Qué valoramos de tu candidatura?

• Posees licenciatura de Estadística, Matemáticas, Física o Ingeniería Superior.
• Tu nivel de SAS/Python/R es elevado.
• Se requiere de una persona con capacidad analítica y de auto-organización, siendo capaz de trabajar en proyectos de forma muy organizada y cumpliendo con los estándares tanto internos (grupo BS) como externos (BCE).
• Se valorará la capacidad de trabajo en equipo, la constancia, la consciencia del trabajo bien hecho y la proactividad a la hora de proponer soluciones.
• Será también valorable la capacidad de síntesis y de saber exponer de una forma sencilla resultados y procesos técnicamente complicados.
• Experiencia en gestión de información, análisis de BBDD, elaboración de informes y reportings.
• Necesaria experiencia en modelización estadística.

¿Qué te ofrecemos?

• Serás parte de un equipo de profesionales de primer nivel, con una excelente reputación en el sector.
• Podrás disfrutar de una amplia oferta formativa.
• Aprenderás de la mano de Managers de referencia de las distintas direcciones.
• Ampliarás tu red de contactos a través de la colaboración y espacios de networking.
• Contarás con opciones de desarrollo de carrera y movilidad dentro del Grupo. Somos un grupo bancario que sienta sus bases en los principios de meritocracia y el desarrollo de sus colaboradores.
• Contratación indefinida y remuneración competitiva.
• Flexibilidad horaria, con posibilidad de teletrabajo y 31 días laborables de vacaciones.
• Productos y servicios financieros exclusivos para empleados (Préstamos a interés a 0%, hipoteca, plan de pensiones, seguros y compensación flexible).

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada27 oct.

Python Agile AWS Machine Learning Office

Introduction to role

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of data and AI to tackle longstanding life sciences challenges? Then Evinova, a new health tech separate business within the AstraZeneca Group, might be for you!

The Human-centered AI team at Evinova aims to transform the patient experience and clinical trial process by embedding data science and AI in digital solutions serving clinical trials. We are looking for talented individuals to develop ideas into impactful product capabilities that make a difference to patients.

Evinova delivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we help. Launch pioneering digital solutions that improve the patients´ experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.

The team is looking for a Director of Data Science to lead machine learning and genAI projects, and develop innovative cross-product AI capabilities. The role is a technical expert driving hands-on development from prototyping to supporting production systems. The role will focus on the design of complex AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems. The role will interact with product, design, engineering, MLOps, and subject matter experts and stakeholders.

Examples of projects the team works on include genAI search services, agentic document generation, algorithmic insight generation, optimization, high-frequency and high-dimensional clinical data modeling, clinical trial prediction, and much more!

Accountabilities
- Lead the design, development, and deployment of advanced agentic AI applications tailored to life sciences/health tech challenges.
- Develop automated techniques for designing and evaluating agentic systems.
- Ideate, develop, and evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents).
- Design specialized agent/LLM observability pipelines for prototypes and production systems.
- Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning.
- Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding cross-functional teams through stages of the AI lifecycle.
- Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.
- Represent the company´s AI expertise at conferences, publications, and industry events.

Essential Skills/Experience
- Ph.D. in a relevant field (such as mathematics, computer science, data science) or equivalent experience.
- 6+ years of industry experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
- Proven track record of developing creative and novel AI solutions that have driven significant business impact.
- Extensive prior experience exploring and testing language model behavior, prompting and building products with language models.
- Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex).
- Extensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, OpenSearch).
- Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.
- Excellent verbal and written communication skills with experience presenting to executive leadership and stakeholders.
- Demonstrated ability to lead and inspire cross-functional teams.

Desirable Skills/Experience
- Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.
- Experience designing and implementing novel AI architectures or algorithms in real-world products.
- Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.).
- Contributions to open-source AI projects or development of proprietary AI frameworks.
- Expertise in areas such as few-shot learning, meta-learning, explainable AI.
- Experience with regulatory environments in healthcare and life sciences.
- Experience with AI ethics, responsible AI practices in the life sciences industry.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That´s why we work, on average, a minimum of three days per week from the office. But that doesn´t mean we´re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca is where innovation meets impact! Our dynamic fields of medicine, science, and technology are always evolving. We embrace change by harnessing digital tools to reimagine healthcare delivery beyond core medical practices. With an agile mindset supported by leading pharmaceutical resources, we empower our teams to think critically and creatively. Here you´ll find a collaborative culture that encourages lifelong learning while making a global impact. Join us as we redefine patient experiences through technology-driven solutions!

Ready to make a difference? Apply now to join our team!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada16 oct.

Teletrabajo . Python

Join us as a Data Scientist

Want to do work that really matters?

At Checkatrade, we’re building the UK’s go-to home improvement marketplace. Every day, we help millions of homeowners find the right tradesperson for the job, fast, fair, and without the faff.

AI and data are at the core of that mission. We believe intelligence should drive every decision, workflow, and customer experience — helping trades win more work and homeowners get the right match, faster. We’re building an AI-powered Checkatrade where models, insights, and automation create real-world impact at scale.

As our next Data Scientist, based in Barcelona, you’ll join our Marketplace Team — the engine room where data meets behaviour. You’ll design intelligent systems that make our two-sided marketplace smarter and fairer: better search, faster matching, and more dynamic pricing. This isn’t about isolated modelling — it’s about shipping production-ready intelligence that directly shapes how millions of people find, choose, and hire trusted trades.

Forget long lists, here’s what you’ll actually spend your time on:

• Experimenting with LLM-based and retrieval-augmented models (RAG) to improve matching, ranking, and recommendations.
• Building prototypes that make our search and pricing systems more adaptive, efficient, and fair — powered by embeddings, reinforcement learning, and continuous feedback loops.
• Collaborating closely with engineers to productionise insights, ensuring our models aren’t just smart, but scalable and measurable in the real world.
• Working cross-functionally with product and platform teams to define how AI and data science integrate into every part of the marketplace experience.
• Contributing to our internal AI playbook — helping set the standards for experimentation, evaluation, and ethical AI in production environments.
  
  

• Strong applied data science experience in modern Python stacks — PyTorch, TensorFlow, LangChain, or similar.
• Experience building and deploying production-grade models that solve real business problems.
• Comfort working across the spectrum — from quick-turn experiments to rigorous model evaluation and refinement.
• A pragmatic mindset: you know when to fine-tune, when to use off-the-shelf models, and when simpler is smarter.
• Curiosity, creativity, and a desire to turn data into tangible, measurable impact.
  
  

• Great salary for the impact you make
• Annual bonus - get rewarded for your work
• Work your way - flexible, remote-friendly setup
• Lunch vouchers so you stay fuelled while you build
• Learning support for courses, certs and books to level up
• Real time off - generous annual leave plus local public holidays
  
  

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada15 oct.

Teletrabajo Python TSQL Azure Cloud Coumputing AWS R IoT Big Data Machine Learning Power BI Tableau

About Accenture Data & AI for Supply Chain Team

We are a global Center of Excellence specializing in Data & AI for Supply Chain, with a rapidly growing team of 180+ professionals. Our mission is to turn data into a strategic advantage, driving operational excellence, agility, and smarter, faster decision-making across the end-to-end supply chain.

As we continue to expand, we are looking for passionate professionals to join our team and shape the future of intelligent supply chains.

Our Focus Areas

• Supply Chain Planning - AI-driven demand forecasting, inventory optimization, and planning solutions to enhance agility and efficiency.

• Fulfillment & Network Optimization - Advanced analytics to optimize logistics, warehouse management, distribution, network and last-mile delivery, improving speed, cost, and service levels.

• Manufacturing - AI, machine learning, and IoT to drive predictive maintenance, production efficiency, and quality control in smart manufacturing.

Your role

As a Data Scientist in Accenture´s Data & AI for Supply Chain team, you will:
- Apply AI, advanced analytics, and optimization techniques to solve complex supply chain challenges.
- Engage directly with clients, translating business needs into AI-driven solutions and delivering measurable impact.
- Drive business development, contributing to proposals, identifying new opportunities, and shaping innovative AI offerings.
- Collaborate with multidisciplinary teams, including data scientists, engineers, and business consultants, to implement cutting-edge supply chain solutions

What Skills Are We Looking For?

Basic Qualifications:

• Bachelor´s or Master´s degree in Mathematics, Statistics, Engineering, Computer Science, or a related field. • Proficiency in English (additional languages are a plus). • 1+ years of experience in Data & AI or related fields (we are hiring at different experience levels).

We seek professionals with strong expertise in AI, analytics, and optimization applied to supply chain challenges. While you don´t need to master all of them, experience in multiple areas will be highly valuable. Key skills include:
- Programming: Python, R, SQL
- Operation Reasearch & Simulation: LP, ILP, Heuristics/Meta-Heuristics, Discrete Events Simulation, digital twins.
- Machine Learning & AI: Forecasting, predictive modeling, optimization algorithms.
- Generative AI: LLMs, AI-driven scenario generation, synthetic data modeling, and workflow automation.
- Cloud & Big Data: Experience with Azure, AWS, or GCP, including AI/ML services.
- Supply Chain Solutions: Familiarity with o9, Blue Yonder (BY), SAP IBP, or similar tools.
- Data Engineering & Visualization: Large-scale data processing, market solutions/platforms (Databricks, Snowflake, ..), and tools like Power BI, Tableau, or Looker.

Soft & Strategic Skills

Beyond technical expertise, we look for professionals who can think strategically, collaborate effectively, and drive impact in complex environments. Key skills include:
- Problem-Solving & Critical Thinking: Ability to analyze supply chain challenges and design AI-driven solutions.
- Business Acumen: Understanding the impact of AI and analytics on supply chain efficiency, resilience, and cost reduction.
- Communication & Stakeholder Management: Ability to translate complex data insights into actionable business recommendations for technical and non-technical audiences.
- Agility & Innovation: Comfortable working in fast-paced, evolving environments, with a passion for continuous learning and innovation.

What´s in It for You?

Join Accenture´s Data & AI for Supply Chain team and unlock a challenging and rewarding career, where you will:
- Work on high-impact AI & analytics projects with global clients.
- Collaborate with a team of 180+ data scientists and engineers, including 20% PhDs in Mathematics, Computer Science, Physics, or Statistics.
- Drive cutting-edge AI innovation, including Generative AI applications in supply chain.
- Enjoy a flexible, hybrid work model in a Great Place to Work®-recognized company.

The position is based in Barcelona or Madrid in a hybrid work model, combining remote work with in-office collaboration to foster team synergy. Candidates must reside in Spain and have legal work authorization.