Ofertas de empleo de Científico/a de Datos en Barcelona

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

Python Agile Scrum Cloud Coumputing Jira AWS LESS Machine Learning

We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month.

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less.

Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

What You’ll Do & Who You Are

As an experienced Data Scientist, you will:

• Understand user needs and business opportunities and identify where Machine Learning can bring the greatest impact.
• Develop machine learning models from scratch or fine-tune existing ones.
• Train and test deep learning models.
• Team work using Agile methodology and be part of the end-to-end process, collaborate with other profiles in the team.
• Detect the data that may be useful in upcoming projects and verify whether this data already exists or needs to be tracked.
• Deliver incremental work, following lean product development principles.
• Share your knowledge with your colleagues to boost machine learning in Adevinta and strengthen our machine learning community.
• Identify challenges and growth for business.
  
  

Responsibilities

• Have experience applying machine learning and deep learning methods to:
• Develop solutions to address impactful business needs.
• Provide hands-on support in a range of Computer Vision and Natural Language Processing related tasks.
• Assure quality and robustness of data science outputs.
• Work with other team members to help productionize end-to-end ML solutions.
• Demonstrate a robust ethical framework and critical thinking skills when developing, implementing, or utilizing AI technologies.
• Experience in applying Generative AI technologies to solve business problems, while demonstrating a thorough understanding of its associated risks.
• Proficiency in Python with ability to translate ideas into prototypes.
• Experience working in cloud environment (e.g. AWS)
• Experience with Agile philosophies (e.g. Scrum) and project management tools (e.g.: JIRA).
• Have strong interpersonal communication skills to:
• Engage with stakeholders and understand business requirements.
• Clearly communicate complex ideas to both technical and non-technical audiences.
  

Benefits

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:

• An attractive Base Salary 💸
• Participation in our Short Term Incentive plan (annual bonus) 🏆
• Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍
• A 24/7 Employee Assistance Program for you and your family, because we care ❤️
• Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱
  
  

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 ago.

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.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada29 ago.

Python Agile Kubernetes Spark Machine Learning

We are seeking an experienced Data Science / Machine Learning Engineering Lead to join our team and drive the development of advanced ML/AI capabilities. You will lead a team of Data Scientists / ML Engineers, focusing on building and deploying cutting-edge machine learning solutions using our modern ML infrastructure including Anthropic, OpenAI, and self-hosted LLMs.
- Team Leadership & Management
- Lead, mentor, and develop a team Data Scientists, Data Engineers, ML Engineers
- Conduct regular 1:1s, performance reviews, and career development planning
- Foster a collaborative, innovative team culture focused on continuous learning
- Coordinate work allocation and ensure timely delivery of projects
- Facilitate knowledge sharing and best practices across the team

- Technical Leadership
- Design and implement scalable ML model training pipelines using modern toolset (e.g MLflow, Comet, Langfuse, WandB, Trino, dbt, Spark, Flink, etc)
- Lead fine-tuning initiatives for both commercial (Anthropic Claude, OpenAI GPT) and open-source LLMs
- Utilise self-hosted LLM infrastructure using Ray, AIBrix, and vLLM for optimal performance and cost efficiency with Lora/QLora
- Architect and oversee model continous validation frameworks within our ecosystem
- Develop real-time anomaly detection systems leveraging for streaming data processing
- Build predictive models for system performance, usage patterns, and automation workflow optimization
- Establish ML engineering best practices for model versioning, monitoring, and deployment on Kubernetes
- Creation of eval, validation and metrics pipelines for models during training and inference

- Strategic Initiatives
- Optimize the balance between commercial APIs (Anthropic, OpenAI) and self-hosted models for different use cases
- Partner with product and engineering teams to identify high-impact ML opportunities
- Define the team´s technical roadmap aligned with company objectives
- Drive adoption of state-of-the-art ML techniques and tools
- Contribute to infrastructure decisions for scaling our ML platform

- Operational Excellence
- Implement robust CI/CD pipelines for ML models in Kubernetes environments
- Monitor model performance using MLflow tracking and implement drift detection
- Manage Flink jobs for real-time feature engineering and anomaly detection
- Document processes, architectures, and decision rationale

Requirements
Qualifications / Experience / Technical Skills
- Education & Experience
- Master´s or PhD in Computer Science, Machine Learning, Statistics, or related field
- 10+ years of hands-on experience in data science/machine learning
- 5+ years of experience leading technical teams
- Proven track record of deploying ML & LLM models to production at scale

- Technical Skills
- Deep expertise in Python and ML frameworks (PyTorch, TensorFlow)
- Extensive experience with commercial LLM APIs (Anthropic Claude, OpenAI GPT-4)
- Strong proficiency with MLflow for experiment tracking and model management
- Experience with distributed computing using Apache Spark
- Proficiency with Apache Flink for stream processing and real-time ML
- Knowledge of LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
- Expertise in anomaly detection algorithms and time series analysis

- Leadership Skills
- Demonstrated ability to lead and inspire technical teams
- Strong communication skills to translate complex technical concepts to stakeholders
- Experience with agile development methodologies
- Track record of successful cross-functional collaboration
- Ability to balance technical excellence with business pragmatism

Soft Skills / Personal Characteristics
- Experience with AIBrix, vllm or similar ML platform solutions
- Experience with AI code generation and anonymisation pipelines
- Knowledge of advanced prompting techniques and prompt engineering
- Experience building RAG (Retrieval Augmented Generation) systems
- Background in building ML platforms or infrastructure
- Familiarity with vector databases (Pinecone, Weaviate, Qdrant)
- Experience with model security and responsible AI practices
- Contributions to open-source ML projects

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada26 ago.

Python Jenkins Cloud Coumputing Git AWS Spark

Job Title:

Data Scientist

Location:

Barcelona, Spain

Must be on-site on weekly basis 2 to 3 days a week

Start Date:

October 2025

Duration:

Until August 2027 , possible extension

Language:

Spanish

Skills:

Years of experience in similar positions.

Experience in developing predictive models and working with optimisation problems with demonstrable success.

High level of Python, Spark, and Git.

Familiarity with CICD tools such as Jenkins and orchestration tools such as Airflow.

Experience with one of the major cloud providers, preferably AWS.

If you are interested, send me your CV to [email protected] and let's talk on the phone.

If not, share it with your network and earn a referral bonus!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 jul.

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 23 countries.

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 Lifecycle Data team in our Barcelona HQ.

Data Science, Machine Learning, and Experimentation are key drivers of Glovo’s customer engagement strategy. Data scientists at Lifecycle own some of the most impactful models and insights that optimize Glovo’s user retention and loyalty. This includes churn prediction models, customer segmentation, lifetime value modeling, and personalized recommendation engines. 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 (e.g., cross-validation) and online experiments (e.g., A/B testing, uplift modeling).
• Contribute to one or more of the following areas: churn prediction, customer segmentation, lifetime value modeling, and personalized recommendations.
• Design and implement experiments to measure the effectiveness of lifecycle initiatives, providing actionable insights to product and marketing teams.
• Work in cross-functional teams across disciplines such as product, engineering, growth, and CRM, amongst others.
• 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, customer analytics, time series analysis, and optimization.
• 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 applying Data Science techniques to customer retention, engagement, and lifecycle optimization.
• Experience working with CRM data, A/B testing frameworks, and customer segmentation tools.
• 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!

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