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

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de nov.

Python Agile TSQL Azure Cloud Coumputing AWS Machine Learning Office

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace´s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

Backed by top investors such as Accel, Insight Partners & Naver Corp we bring our total valuation to 806 million EUR and are embarking on our international journey with the aim to become the world´s best unique goods trading platform.

The Challenge

The Wallapop platform generates tons of data and, with a mature data infrastructure already in place.The team is experiencing significant growth and, with many initiatives down the road, the opportunities are endless.

As a Data Scientist in the Wallapop you will be working on the Data Science initiatives aimed at improving the whole marketplace dynamics.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop´s Data Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

What You Will Do
- Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
- Develop and implement machine learning models to solve business problems, such as personalized recommendations, fraud detection, and pricing optimization.
- Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
- Own initiatives from start to deployment: ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration (w/ help from Engineering partners)
- Proactively suggest, research and prototype new ideas for data and ML solutions.
- Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We´re Looking For
- Bachelor or MsC degree in engineering, mathematics, statistics, physics, or another quantitative field.
- Strong coding skills (Python is a must, but other languages are also valued), capable of building robust data and ML software.
- Experience building complex data products and ML solutions to real-life problems in a production-oriented environment, identifying the right techniques to solve the problem at hand.
- Experience with common libraries and frameworks such as Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch.
- Advanced in SQL, capable of getting the data required from the appropriate sources, and building and maintaining data pipelines if needed (experience in tools such as Airflow or DBT would be a plus).
- Excellent communication and presentation skills, with the ability to explain data insights to business stakeholders in the context of marketplace dynamics.

What Would Be A Plus
- Experience working with Search & Ranking models in production environments
- Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
- Experience working within the Logistics, Trust & Safety or Customer Service domains.
- Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

Do note that all our jobs are Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following Perks & Benefits:
- Competitive phantom shares package for all employees
- Generous individual learning budget of 2k per year
- Group and individual English, Catalan & Spanish lessons as part of our working day
- Private Health Insurance with Alan
- Flexible working hours + intensive Fridays
- Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
- Gym & Wellness plan, including physiotherapist in the office
- Generous referral Program & Charity Donation
- Bonus for weddings & newborns
- Wallapop Renta (Tax income support)
- Monthly plan for free shipping, bumps & home-pick-up on our services
- Work anniversary Gifts and Birthday Surprises
- Contribution towards your WIFI in your monthly payroll
- One-off payment based on compensation package to go towards setting up your home office
- Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
- 26 holidays per year
- TOP hardware of your choice (latest Apple or Windows)

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de nov.

. Python Agile 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

• 1️⃣ HR Interview
• 2️⃣ Technical Interview
• 3️⃣ 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.

🔗 Company

For more information about our ecosystem : https://careers.veepee.com/en/home-page-en/

❓ Who We Are

Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepee’s innovative strategy.

From Warsaw to Sevilla, through Brussels, Amsterdam, Paris, Lyon, Nantes, Nice, Barcelona, Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where you’ll be sure to find your place, no matter the technology you work with.

If you love to try things why don’t you jump on this new adventure?

Need more info > https://careers.veepee.com/en/

Vente-privee.com processes the collected data to handle the recruitment process, and to evaluate your ability to carry out the job offered and your professional skills. You can learn more about our use of your data and your rights by reading our recruiting privacy policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada4 de nov.

. Python TSQL Azure C++ Cloud Coumputing AWS R MATLAB

Formació i Experiència

• Titulació superior en Ciència de dades, Bioenginyeria, Enginyeria Informàtica, Enginyeria de Telecomunicacions, Física, Matemàtiques o equivalent. 
• Màster o formació avançada en ciència de dades/intel·ligència artificial. 
• Experiència en tècniques avançades d’aprenentatge automàtic, incloent aprenentatge profund i processament del lenguatge natural.
• Experiència prèvia com a Data Scientist/AI engineer en el desenvolupament, validació i implementació d’algorismes en l’àmbit biomèdic: explotació de bases de dades, desenvolupament de models predictius, desenvolupament de soluciones de GenAI, agents…
• Experiència en la tutorització d’estudiants/mentoring o en rols similars de supervisió acadèmica/professional (valorable PhD, encara que no imprescindible). 
• Es valorarà positivament haver realitzat estades internacionals en formació o activitat professional.
  
  

Coneixements Tècnics

• Nivell avançat de programació Python (imprescindible), i valorats R, Matlab, C++, Java. 
• Coneixement i experiència en anàlisi de dades, neteja, preparació, preprocessament i visualització de dades.
• Experiència demostrable en el disseny i implementació de solucions d’IA generativa.
• Coneixements de SQL per a la gestió de bases de dades. 
• Es valorarà positivament tenir experiència treballant en entorns cloud (AWS, Azure) i els seus serveis de dades.
• Es valorarà positivament tenir coneixements d’estàndards de dades clíniques (OMOP, FHIR) i experiència en l’estructuració de dades hospitalàries
• Coneixements d’estadística avançada i anàlisi de dades.
  
  

Qué Oferim

• Incorporació immediata.
• Jornada completa de dilluns a divendres (37,5h)
• Retribució d’acord amb el perfil de la persona seleccionada.
• Beneficis socials: pla de compensació flexible, dies addicionals de vacances, descomptes en els menjadors dels centres de referència. 

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada31 d’oct.

. Python TSQL R

Datavant is a rapidly growing healthcare technology company with a mission to connect the world’s health data. By eliminating data silos in the healthcare industry, we aim to unlock opportunities to accelerate clinical data exchange, medical research, and help organisations design better ways to facilitate access, affordability, and quality of care leading to better patient outcomes.

By joining Datavant today, you’re stepping onto a highly collaborative team that is passionate about creating transformative change in healthcare. We look for people who are smart, nice and get things done. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales.

Datavant is looking for an enthusiastic and meticulous Data Scientist (Privacy) to join our growing team, who interrogates and assesses client information in terms of the re-identification risk to patients.

As part of the Privacy Science team within Privacy Solutions you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing and consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets.

You Will

• Critically analyse large health datasets using standard and bespoke software libraries.
• Discuss your findings and progress with internal and external stakeholders.
• Produce high quality reports which summarise your findings.
• Contribute to research activities as we explore novel and established sources of re-identification risk.
  
  

What You Will Bring To The Table

• A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods.
• Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language.
• MSc or PhD in Statistics, Mathematics, Physics, Chemistry or similar.
• Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions.
• Familiarity with Amazon Web Services cloud-based storage and computing facilities.
• Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports.
• Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines.
• Drive to understand real-world data in context rather than consider it in abstraction.
• Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Solution’ knowledge base.
• An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation.
  
  

Bonus Skills

• Experience with SQL.
• Experience of creating documents using LATEX.
• Detailed knowledge of one or more types of health information such as genomics.
  
  

We are committed to building a diverse team of Datavanters who are smart, nice, and get things done where every Datavanter is empowered to bring their authentic self to their work. We are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an equal opportunity employer and welcome applications from people of all backgrounds and experiences.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your responses will be used to help us identify areas of improvement in our recruitment process. We can only see aggregate responses and are unable to view individual responses. In fact, we aren’t even able to see if you’ve responded or not! Responding is your choice and it will not be used in any way in our hiring process.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada30 d’oct.

Teletreball Python TSQL Cloud Coumputing R ERP Big Data Machine Learning

The Company

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.

We thrive in solving our customer´s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.
Our People

At Wizeline, we are a team of near 2,000 people spread across 25+ countries. We understand that great technology begins with outstanding talent and diversity of thought. Our business was built on doing well and doing good, and our values of Ownership, Innovation, Community, and Diversity & Inclusion are embedded within our company´s DNA. We are committed to offering our Wizeliners the opportunity to create their career path and develop the skills needed to achieve their personal goals.
Community Impact

We are proud to contribute to local economies by developing technology ecosystems in places like Mexico, Colombia, and Vietnam. We also created Wizeline Academy, a free, community-based education program that teaches high-value skills to workers looking to advance their tech industry careers. As of 2022, Academy has served more than 28,000 students across 675 courses. Wizeliners have the opportunity to upskill by taking Wizeline Academy courses and can also share their expertise by delivering classes to students.

What will you bring to the team?

The Intelligence Unit of the Business Operations team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop algorithms that involve learning from core systems, such as HCM, ERP, ATS, CRM, internal products, and Staffing Systems, in order to generate and improve existing data models.
Your Day-to-Day

On a typical day, you will work closely with talented data analysts, data engineers, software engineers, and business groups. As a successful data scientist in our team, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems, through collaboration with engineering and business teams. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.

Major responsibilities include:

-Analyzing and translating business needs into long-term solution data models, utilizing code for analyzing data, and building statistical and machine learning models and algorithms.

-Evaluating implemented data systems for variances, discrepancies, and efficiency.

-Supporting decision-making by providing requirements to develop analytic capabilities, platforms, pipelines, and metrics then using them to analyze trends and find root causes of model inaccuracy.
Are You a Fit?

Minimum qualifications:
- Background in any of these areas:
- Statistics and Applied Math, Computer Science, Finance, and Economics.
- Python/R/Scala and SQL, demonstrating best practices for data coding to ensure consistency.
- English Proficiency
- 5+ years of experience working in the Data Science field
- Data-focused applied mathematics (statistical analysis)

Preferred Qualifications:
- Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, etc
- Database Experience: Ability to perform CRUD operations on relational and non-relational datasets.
- Big Data Technologies Experience: Ability to create ETL pipelines and use machine learning algorithms.
- Data Visualization: Display data to provide insights: show patterns, trends, or correlations in a single plot. The ability to produce dynamic and interactive data visualizations is a plus.

Why You Should Apply

Still not convinced you should apply? Here are some of the things that make Wizeline different from other technology services companies:
Our Values

At Wizeline, we value innovation, community, and ownership. Our commitment to diversity, inclusion, and respect fosters an environment where everyone does well and does good. We´re proud to be recognized by the Human Rights Campaign Foundation in response to our inclusive corporate policies and best practices for LGBTQ+ employees.
Our Culture

We offer exceptional career growth and learning opportunities to our employees with skill development workshops, mentoring programs, and support for side projects or entrepreneurial work. We ranked 7th on Expansión´s Super Companies 2021 list.

Our Benefits and Perks

We offer competitive compensation and employee-centric benefits, including industry-leading maternity and paternity leave, wellness programs, and remote work opportunities. All Wizeliners have access to continuous learning opportunities through Wizeline Academy, including cloud certifications, mentorship, LinkedIn Learning, Udemy, and in-house technical bootcamps developed by our experts in the field.

In recognition of our superb employee benefits, we debuted on Quartz´s list of the Best Companies for Remote Workers and ranked 5th on Expansión´s Super Workspaces 2021 list.

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

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.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada28 d’oct.

Teletreball .

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).

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada16 d’oct.

Teletreball . 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.
  
  

It’s not about ticking every box. It’s about turning up curious, ready to crack on. You’ll do well here if you bring:

• 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.
  
  

We believe great work deserves great rewards. Here’s just a taste:

• 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
  
  

Interviews will take place in Barcelona and you will be required to work in Barcelona 2 days per week.

If you require any reasonable adjustments during our interview process, please discuss them with your Talent Acquisition Partner.

If this sounds like the place where you can do your best work, we’d love to hear from you, even if you don’t tick every box

About Us

We’re Checkatrade – the UK’s leading platform for finding a tradesperson. With more than 50,000 trades listed and over 6 million reviews, we help homeowners get jobs done right and help tradespeople grow their business.

We’re growing fast, with big plans to become the go-to brand for home improvements. If you care about great work, take pride in the details, and want to make an impact, you’ll fit right in.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada8 d’oct.

. Python TSQL Git Fintech Machine Learning Power BI Tableau

ROLE PURPOSE

The purpose of the Data Scientist role in our risk department is to enhance the company’s decision-making capabilities through data-driven insights. By leveraging machine learning, statistical analysis, and data science methodologies, the Data Scientist will contribute to developing and refining credit scoring models, collection models, product models and portfolio optimization strategies. This position is central to driving innovation and improving our risk management and product processes in a dynamic FinTech environment.

PRIMARY RESPONSIBILITIES

• Develop and optimize credit scoring models using statistical and machine learning techniques.
• Conduct data analysis to identify risk factors, assess customer creditworthiness, and product behaviour
• Create reports and visualizations to monitor model performance and portfolio quality.
• Collaborate with the IT team to deploy and support models in a production environment.
• Test and fine-tune models based on market changes, customer needs, and regulatory requirements.

KNOWLEDGE & SKILLS

Must-Have Skills:

• Proficiency in Python (Pandas, NumPy, Scikit-Learn).
• SQL skills to manage and analyze data through complex queries.
• Foundational knowledge of machine learning, including linear and logistic regression, decision trees, and random forests.
• Experience with advanced ML techniques (e.g., gradient boosting) and libraries such as XGBoost, LightGBM, or CatBoost.
• Git version control for code management.
• Solid understanding of statistics (variance, correlation, p-value, t-tests, etc.).

Nice-to-Have Skills:

• Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Understanding of regulatory requirements in Spain and Mexico’s lending sector, with knowledge of data protection laws.
• Experience with neural networks and deep learning libraries, such as PyTorch or TensorFlow.
• Ability to deal with external providers and to communicate in an appropriate & clear manner at different layers of the organization.

BENEFITS

💪 Private health and dental insurance

👟 Discounted gym membership

💻 Freedom to work from home two days a week

🍎 Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks

🌍 Team building activities and work in an international and passionate environment

Don’t miss the opportunity to be part of a company that values innovation and talent!

Join us and take your career to the next level 🚀