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

• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

AWS

📍 Modalidad: Híbrido (3 días presencial en Viladecans, Barcelona)

📅 Duración: Larga duración

📋 Requisitos

✔ Tecnologías clave:

• NLP (Transformers, RAGs), AWS
• Desarrollo de algoritmos ML y visualizaciones ✔ Experiencia: 3-5 años ✔ Idiomas: Inglés B2/C1
  
  

📌 Responsabilidades

• Desarrollo de modelos NLP y pipelines en AWS.
• Implementación de RAGs y soluciones IA generativa.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de jul.

Python R

The European Molecular Biology Laboratory (EMBL) is Europe’s life sciences laboratory – an intergovernmental organisation with more than 110 independent research groups and service teams covering the spectrum of molecular biology. It operates across six sites in Heidelberg (headquarters), Barcelona, Cambridge, Grenoble, Hamburg and Rome. Our mission is to perform basic research in molecular biology; train scientists, students and visitors at all levels; offer vital services to scientists in the public and private sectors within the member states; develop new instruments and methods; and engage actively in technology transfer. EMBL stands at the forefront of innovation in biological research. Renowned for our leadership in genomics, we offer an environment enriched with cutting-edge research, technology development, and advanced services.

EMBL Barcelona is a research unit focusing on Tissue Biology and Disease Modelling. We build tissues to understand them, either in vitro or in silico. Our unit combines an interdisciplinary mix of approaches, integrating molecular and cellular data with gene circuits, tissue engineering, multicellular omics, 3D mesoscopic imaging and computer modelling. Our 7 research groups span work on organoids, in vitro vascular models, disease modelling, self-organisation, and computational modelling of multicellular systems, with some of the groups combining both wet-lab and computational research. Imaging and -omics based approaches are central to our endeavours of building tissues to understand them.

A particularly exciting technological frontier is the intelligent integration of imaging data with omics data, and EMBL is an active innovator in this area. As part of the newly launched Data Science Centre, we seek to recruit a dynamic and skilled data scientist for shaping integrated imaging and -omics data workflows and advancing data FAIRification platforms and practices.

Your role

The successful candidate will work closely with research and service groups at all EMBL sites to contribute to the development of a local and pan-EMBL solution for integrated image and omics analysis, including management, workflows and core training. While the position is based at EMBL Barcelona, you will be a fully integrated member of the EMBL Data Science Centre working across its European sites. Occasional travel to other EMBL sites is necessary.

Your Duties Will Include

• Supporting the implementation and development ofboth local and pan-EMBL pipelines for managing, processing, and utilizing imaging data.
• Developing platforms for integrating imaging with -omics data (such as spatial omics).
• Ensuring that FAIR (Findable, Accessible, Interoperable, and Reusable) principles are embedded in our data handling processes.
• Contributing to onboarding and training of research staff to support their data management and analysis needs.
• Facilitating communication and seamless data flow between EMBL and non-EMBL scientists and imaging and genomics platforms.
• Continually exploring new methods, pipelines, and technologies to implement across EMBL initiatives within the image analysis field
  
  

You have

We Seek a Team Player With Relevant Scientific And Technical Expertise, Ready To Learn And Take Responsibility For Facilitating Data Science Initiatives And Research Workflows. The Ideal Candidate Would Have a Degree In a Relevant Discipline With Multiple Years Of Experience In Image Analysis, Bioinformatics, And Data Management, And Enjoy Collaborative Interactions Across Research Areas. Specifically, We Seek Candidates With

• Experience building and executing workflows that may include imaging data from multiple modalities: brightfield, fluorescence (widefield, confocal, SPIM), electron microscopy, x-ray CT.
• A strong interest, and potentially prior experience, in handling spatial-omics data.
• Excellent command of Python, R and/or Julia along with standard open source image analysis platforms such as FIJI, BigDataViewer, Napari.
• Strong abilities in cross-disciplinary collaboration, communication, and training.
• The successful candidate is a motivated self-starter with a proven ability to work within a multidisciplinary team environment, and with excellent communication and organizational skills. A high standard of written and spoken English is mandatory.
  
  

You might also have

An existing understanding of omics/genomics data from a computational viewpoint. An interest in facilitating core training for ‘-imaging’ and ‘-omics’ data science will be an asset, as would experience with databases and public repositories for imaging data, and an understanding of image data formats, metadata standards, and FAIR principles. A double or interdisciplinary background in computational science and imaging modalities for biological samples would be considered a plus, as would experience working with -omics data.

• Don’t meet every requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
  
  

Contract length: 3 years (renewable up to 9)

Salary: Grade 5 or 6 (salary starting from 3.176,42 EUR monthly after tax, before ~12% EMBL social security dedcutions)

Application Instructions

Please submit your structured CV along with a cover letter that reflects your own voice and motivation. We are genuinely interested in understanding why you see this as the right next step in your career and whether you are prepared to relocate to Barcelona.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteTemporal
• Publicada5 de jul.

Teletreball Python Git

Des de Talent Solutions estamos buscando estudiantes para que formen parte del equipo de Inteligencia Artificial donde desarrollarás agentes inteligentes basados en Large Language Models (LLMs) y participarás en la creación de una base de conocimiento interna y de interactuar con ella y con APIs internas.

Estarías en una empresa que es la insurtech líder en España en el ámbito de los seguros. Desde nuestra plataforma, ayudamos cada día a miles de personas a encontrar el seguro que mejor se adapta a sus necesidades, ya sea de salud, coche, vida u hogar.

Pero es mucho más que seguros: formarás parte de un equipo tecnológico innovador, trabajando con inteligencia artificial, automatización y análisis de datos para transformar la forma en la que las personas acceden y gestionan sus seguros.

¿Te gustaría formar parte de un entorno con propósito, donde la tecnología impacta de verdad en la vida de las personas? ¡Entonces esta oportunidad es para ti!

Imagínate como será tu día a día:

• Procesarás documentación interna para que pueda ser usada por un LLM.
• Diseñarás e implementarás prompts adaptados a diferentes usos.
• Desarrollarás agentes conversacionales con LangGraph o similares.
• Añadirás sistemas de testeo y seguridad a las soluciones de IA.

Requisitos mínimos:

• Estudiantes de Grado o Máster.
• Valorable experiencia previa en prácticas o proyectos.
• Pasión por la IA generativa y los retos tecnológicos.
• Conocimientos de Python y Git.
• Conocimientos en NLP o LLMs.
• Valoramos experiencia en LangChain, LangGraph o FastAPI.

Qué te ofrecemos:

• Mentoring técnico por profesionales del sector.
• Flexibilidad horaria y teletrabajo parcial (30-40%).
• Buen ambiente y posibilidad de aprendizaje continuo.
• Prácticas remuneradas.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de jul.

MongoDB Mesos

• Estar en possessió del títol de Tècnic Superior en l'àmbit de la informàtica.
• Coneixements o experiència en bases de dades no relacionals, MongoDB.
• Experiencia en el desenvolupament de pàgines web.
• Es valorarà positivament experiència en l'àmbit sanitari i en gestió de dades genòmiques.
  
  

Qué Oferim

• Jornada completa de dilluns a divendres (37,5hores)
• Menjador subvencionat als centres de referència.
• Dies addionals de vacances.
• Contracte 16 mesos, lligat al projecte IMPaCT-Data 2.
  
  

Contrato financiado por "Instituto de Salud Carlos III", código de proyecto PMP24/00024

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada1 de jul.

Python TSQL NoSQL Oracle AWS R MATLAB Tableau

This is a 1 year FTC role.

Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers!

The EU Marketing & Prime organization is looking for a Business Intelligence Engineer. The position can be based in Luxembourg/London/Munich/Paris/Madrid.

The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on the cutting-edge in automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of Customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists, statisticians and software engineers in the field.

Who we are:

We are a company of builders who bring their unique skills, perspectives, backgrounds and ideas to invent on behalf of our customers. We believe that an inclusive culture is essential to what we strive to achieve as a company. We take steps to ensure employees feel embraced, valued, and empowered to succeed and thrive. Amazon´s platform is for everyone, and so is our workplace.

We continue to learn and iterate, and foster inclusion internally through educational programmes, mentorship schemes, flexible working arrangements, and egalitarian benefits for all of our employees.

Our commitment to diversity, equity, and inclusion is central to Amazon´s mission to be Earth´s Most Customer-Centric Company, Best Employer, and Safest Place to Work.

Key job responsibilities

You are good at:

• Working on complex loosely defined analytics problems and defining the team´s Business Intelligence (BI) strategy. Delivering independently, and influencing the organization´s BI architecture

• Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and ming technical trade-offs for long term/short-term needs.

• Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions

• Providing analyses, frameworks and solutions that inform multiple teams´ business decisions and highlight new opportunities

• Driving best practices in operational excellence, data modelling, and analysis

Thank You!

We appreciate that applying for a new job takes a lot of work and we value your time. We are really looking forward to receiving your application!

BASIC QUALIFICATIONS

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

- Experience with data visualization using Tableau, Quicksight, or similar tools

- Experience with data modeling, warehousing and building ETL pipelines

- Experience in Statistical Analysis packages such as R, SAS and Matlab

- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

- Experience with SQL

- Experience in the data/BI space

PREFERRED QUALIFICATIONS

- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

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

Python TSQL Azure Cloud Coumputing Git AWS

Nuestro cliente es IAG.ai , es un nuevo equipo en crecimiento dentro del International Airlines Group (British Airways, Iberia, Vueling, Aer Lingus, IAG Loyalty, IAG Cargo, IAG Tech), con la misión de acelerar el retorno de valor y fortalecer suposición en el mercado mediante el uso de la Inteligencia Artificial, colaborando con varias compañías del grupo IAG.

Como Científico/a de Datos Sénior liderarás el análisis de conjuntos de datos complejos, la construcción de modelos predictivos y la generación de insights que impulsen decisiones estratégicas. Colaborarás estrechamente con equipos de producto, ingenieros de datos y otros científicos de datos para garantizar que las soluciones sean precisas, escalables y alineadas con las necesidades del negocio. Este rol requiere trabajar con datos estructurados y no estructurados, así como participar activamente en el despliegue de modelos en entornos de producción.

Requisitos:

Grado o máster en Ciencia de Datos, Informática, Matemáticas u otro campo afín.
Mínimo 5 años de experiencia profesional en ciencia de datos o análisis avanzado.
Sólido dominio de Python y librerías estándar del ecosistema de ciencia de datos.
Amplia experiencia en tratamiento de datos, análisis estadístico y fundamentos de ML.
Excelentes habilidades de comunicación y colaboración en equipo multidisciplinar.

Valorables:

Experiencia con técnicas de optimización metaheurística (algoritmos genéticos, PSO, etc.).
Experiencia en tareas de procesamiento de lenguaje natural (clasificación de texto, embeddings).
Conocimientos en visualización de datos (Matplotlib, Seaborn, Plotly).
Conocimientos básicos de SQL y procesos ETL.
Experiencia con herramientas de control de versiones como Git.
Familiaridad con plataformas cloud (AWS, Azure) y flujos de trabajo CI/CD.

Ofrecemos:

Retribución competitiva, con beneficios sociales, y plan de carrera y desarrollo profesional
Disponibilidad para trabajar 2–3 días por semana en la central de Viladecans

• Nivell d'experiència---
• Tipus de contracteA temps parcial
• Publicada27 de juny

Python TSQL SaaS Machine Learning

Quienes somos

Redarbor es la #1 compañía HR Tech en Latam.

Ayudamos a 75 millones de personas al mes a encontrar un trabajo mejor y a más de 150.000 empresas a reclutar y retener el mejor talento.

Nuestros proyectos

Somos líderes en Sites y App’s de empleo con nuestros sites de empleo Computrabajo (líder en Latinoamérica), OCC en México e Infojobs y Catho en Brasil, y Software de RRHH en Latinoamérica (Pandapé y Genomawork).

Redarbor en cifras

• 2013 fundada
• +1.100 colaboradores
• 17 oficinas
• 21 países
• HR Tech 1# en Latam y 2# grupo de sites de empleo con más tráfico en el mundo
• El Software de RH (SaaS) líder en Latinoamérica con más de 8.000 productos activos
• Somos la mejor empresa para trabajar en España y la 11ª mejor para trabajar en Europa y hemos recibido el reconocimiento especial ‘Better for Business’, según GPTW

¿Te apasiona el mundo del dato, la inteligencia artificial y el machine learning?

¿Te gustaría desarrollarte en un entorno dinámico donde cada análisis puede marcar la diferencia?

Si la respuesta es SÍ, esta es tu oportunidad. En nuestro equipo buscamos un/a Data Scientist Intern con mentalidad analítica, curiosa y con ganas de aprender en un entorno SaaS y plataformas online.

¿Qué harás en tu día a día?

• Colaborar en proyectos de análisis de datos para identificar patrones y tendencias que impactan en el negocio.
• Desarrollar y mantener modelos predictivos y algoritmos de machine learning y deep learning, con especial foco en NLP y LLM.
• Ayudar en el desarrollo de soluciones de Next Best Action y motores de recomendación para clientes profesionales.
• Limpiar, procesar y transformar datos de diversas fuentes internas y externas.
• Trabajar con grandes volúmenes de datos, asegurando su calidad e integridad.
• Colaborar con equipos de Customer Intelligence, Sales y Customer Success para entender sus necesidades y proponer soluciones basadas en datos.
• Preparar informes y visualizaciones de datos que apoyen la toma de decisiones.
• Documentar procesos y metodologías utilizadas en los proyectos.

Requisitos

• Estudiante de Máster o último año de Ingeniería, Matemáticas, Estadística, Física, Informática o carreras afines.
• Valorable conocimiento en Python, SQL y herramientas de análisis de datos.
• Interés en machine learning, deep learning y NLP.
• Habilidad para interpretar datos y extraer insights valiosos.
• Actitud proactiva, ganas de aprender y pasión por los datos.

¡Si quieres formar parte de una compañía líder en su sector con un equipo altamente cualificado, en un entorno dinámico e internacional, incluso si no cumples con el 100% de los requisitos, nos encantaría conocerte!

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada26 de juny

Python TSQL R Excel Power BI Tableau

Position Snapshot
- Location: Esplugues de Llobregat.
- Type of Contract: Permanent.
- Type of work: Hybrid.
- Work Language: Fluent Business English.

The role

To provide data-driven insights and strategic recommendations that inform talent decisions, enhance workforce planning, improve employee experience, and drive HR and organizational effectiveness.

What you´ll do

- Data Analysis:- Collect, analyze, and interpret complex data related to employee performance, engagement, and other HR metrics from various HR systems (HRIS, ATS, Snowflake, HR DataLake, engagement platforms, etc.).
- Conduct advanced statistical analysis, including regression, correlation, clustering, and hypothesis testing.

- Reporting:- Design and implement dashboards, reports, and predictive models to support decision-making across talent acquisition, retention, DEI, performance, rewards and learning.
- Monitor and report on key HR KPIs and business outcomes.

- Stakeholder Collaboration:- Work closely with HR teams and business units to understand their analytics needs and provide tailored evidence-basis solutions.

- Predictive Analytics:- Develop predictive models to identify trends and forecast future workforce needs.

- Employee listening: - Comprehensive reports and presentations to effectively communicate findings and insights to stakeholders to ensure alignment and understanding of employee needs and concerns.

- HR Data Champion:- Ensure the ethical , integrity and accuracy of HR data, maintaining compliance with data protection regulations (GDPR).

Minimum qualifications:

- Degree in Human Resources, Business Administration, Data Science, or a related field.
- +2 years experience in HR Analytics or a related field.
- Experience with HR data structures.
- Data Analysis & Visualization: Proficiency with Excel, Power BI, Tableau, or similar.
- Experience working with global survey tools, primarily with Qualtrics.
- HR Technology and Data Architecture: Familiarity with HRIS (e.g., SAP ,SuccessFactors, HR Datalake, Snowflake, Position Enterprise Arquitecture (PEA), Qualtrics).
- Data Governance & Privacy: Understanding of ethical standards and legal frameworks.

Bonus points if you:
- Relevant certifications in analytics, HR, or data science.
- Prior project experience involving predictive analytics or workforce planning is a plus.
- Statistical Methods: Knowledge of R, Python, or SQL for advanced analytics would be a plus.

We offer you

We offer more than just a job. We put people first and inspire you to become the best version of yourself.

- Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
- Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
- Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
- Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada15 d’abr.

Python TSQL Fintech Machine Learning Office

Location: Barcelona, in-office

At SumUp, we are passionate about giving access to financial services to the millions of businesses too small for most providers to consider. What started as one card reader has turned into a range of readers and multiple remote payment solutions, as well as banking services, including Business Accounts and Loans.

As a Data Scientist in the Lending Tribe, you will play with a huge dataset with billions of transactions from millions of active users. From there, you will build impactful models to help businesses across multiple countries get access to credit through SumUp’s different lending products. You’ll be part of a team of talented analysts, engineers, and other scientists using an advanced stack of tools to create innovative solutions for our products.

What you will do:

• Improve the core lending models: credit risk scoring and affordability forecasting models using machine learning solutions
• Define data collection strategies and new algorithms for models to support expansion to new market segments
• Perform analyses and present your insights to enable SumUp business teams to make data-driven, mission-critical decisions (DROP)
• Communicate and present results to product and business stakeholders
• Mentor other Data Scientists to pursue data science excellence through good engineering practices
• Build production-grade ML solutions using Python, scikit-learn, LightGBM, and PySpark—delivered with testing, monitoring, and reproducibility baked in
• Navigate and improve legacy code and pipelines—refactor without fear, stabilise what’s brittle, and raise engineering standards across the board
• Clearly communicate trade-offs and model performance to both technical and business stakeholders
  
  

You will be great for this position if you have:

• Solid understanding of Data Science
• Deep Python skills, including experience with (pandas, scikit-learn)
• Solid SQL knowledge
• Mastery of statistics, machine learning, and probability theory
• Proven track record in delivering solutions end-to-end
• Experience deploying machine learning models and artifacts in production at scale
• Excellent technical reading, writing and communication skills to support stakeholder management
  
  

Big Plus:

• Hands-on experience building or maintaining credit risk models in regulated environments
• A background in software engineering—you think in modules, write testable code, and care about long-term maintainability
• Experience launching models in data-constrained or new market environments
• A degree in a quantitative field: Data Science, Statistics, Mathematics, Computer Science, Economics, or similar
  
  

Why you should join SumUp:

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
• Restaurant tickets (powered by Edenred)
• Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
• A dedicated annual L&D budget of €2000 for attending conferences and/or advancing your career through further education
• 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp
• Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team
  
  

About SumUp

We believe in the everyday hero.

Small business owners are at the heart of all we do, so we create powerful, easy-to-use financial solutions to help them run their businesses. With a founder’s mentality and a 'team-first’ attitude, our diverse teams across Europe, South America and the United States work together to ensure that the small business owners we partner with can be successful doing what they love.

SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

SumUp will not accept unsolicited resumes from any source other than directly from a candidate.

Job Application Tip

We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.