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

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

. Python Machine Learning

Participar activamente en los proyectos del área de Datos e Inteligencia Artificial de Veolia, contribuyendo en tareas de Data Engineering y entrenamiento de modelos de Machine Learning dentro de un ciclo MLOps.

Actividades a realizar

• Análisis exploratorio de Datos (EDA), Cálculo de Features
• Cálculo de Features
• Entrenamiento de Modelos
• Preparación de Datos para los proyectos en los que participe
• Programación de Agentes de IA Generativa

Requisitos

• Formación académica: Ingeniería Informática, Ciencias de Datos, Matemáticas, Estadística, Inteligencia Artificial o áreas afines (cursando entre 3.º y 4.º año, excluyente).
• Idiomas: Inglés intermedio.
• Conocimientos informáticos: Data Analytics/Data Science/BigData/Machine Learning + Python
• Posibilidad de firmar convenio de prácticas (excluyente)

Otras competencias:

• Trabajo en equipo
• Proactividad y disposición para aprender

Condiciones

• Prácticas tutorizadas por profesionales del área.
• Oportunidad de adquirir experiencia como data scientist
• Incorporación a un entorno de trabajo profesional y colaborativo
• Duración: 6 meses
• Modalidad: Presencial
• Horario: De 9:00 a 13:00 h
• Práctica Remunerada

• 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.
  
  

• 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
  
  

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

Teletreball . Python Linux Docker Git Big Data Machine Learning

EURECAT

Eurecat es el segundo centro tecnológico de España y una de las organizaciones de investigación aplicada y transferencia tecnológica más grande del sur de Europa. Aglutina la experiencia de más de 800 profesionales que generan un volumen de ingresos de 69 millones de euros anuales y presta servicio a cerca de 2.000 empresas. I+D aplicado, servicios tecnológicos, formación de alta especialización, consultoría tecnológica o valorización y explotación de la propiedad industrial son algunos de los servicios que Eurecat ofrece tanto para grandes como para pequeñas y medianas empresas de todos los sectores. El centro tecnológico participa en más de 200 grandes proyectos consorciados de I+D+i nacionales e internacionales de alto valor estratégico y cuenta con 230 patentes y 10 spin-off. Eurecat cuenta con once centros en Cataluña y presencia en Madrid, Málaga y Chile.

Descripción de la oferta

Eurecat es el principal centro tecnológico de Cataluña y la segunda organización de investigación privada más grande del sur de Europa. Aglutina la experiencia de más de 800 profesionales y presta servicio a cerca de 2.000 empresas. I+D aplicado, servicios tecnológicos, formación de alta especialización, consultoría tecnológica o valorización y explotación de la propiedad industrial son algunos de los servicios que Eurecat ofrece tanto para grandes como para pequeñas y medianas empresas de todos los sectores. El centro tecnológico participa en más de 200 grandes proyectos consorciados de I+D+i nacionales e internacionales de alto valor estratégico y cuenta con 181 patentes y 10 spin-off. El valor añadido que aporta Eurecat acelera la innovación, disminuye el gasto en infraestructuras científicas y tecnológicas, reduce los riesgos y proporciona conocimiento especializado a medida de cada empresa.

Queremos incorporar a nuestro equipo de Data Science & Big Data Analytics

INVESTIGADOR/A - Data Scientist & Machine Learning

Estamos buscando un Data Scientist & Machine Learning Engineer con motivación y experiencia en el ámbito del Machine Learning aplicado, para unirse a nuestro equipo. Participarás en proyectos de desarrollo e innovación con un alto impacto tecnológico, utilizando algoritmos que pueden incluir predicción de series temporales, procesos estocásticos, machine learning clásico, natural language processing, deep learning y sistemas de recomendación, entre otros. Trabajarás con organizaciones de diversos sectores como cultural, legal, digital media, impacto social y digitalización. Además tendrás la posibilidad de desarrollar ideas de investigación aplicada y participar en la redacción de artículos científicos que serán presentados en conferencias internacionales.

Buscamos un perfil centrado en métodos de forecasting, análisis de series temporales y procesos estocásticos. También se valorará, como extra, conocimiento en los ámbitos del procesado de lenguaje natural (NLP), IA generativa, sistemas recomendadores y aprendizaje por refuerzo (reinforcement learning).

FUNCIONES Y RESPONSABILIDADES

• Diseñar y desarrollar soluciones que respondan a los retos de los clientes o socios de los proyectos, según la experiencia del candidato y las necesidades de cada proyecto.
• Escribir código limpio, eficiente y bien documentado para implementar las soluciones técnicas planteadas.
• Investigar técnicas y métodos innovadores en el ámbito de la inteligencia artificial que conformen el estado del arte, a fin de mantenerse actualizado con las nuevas tendencias.
• Participar en la preparación de propuestas de proyectos de investigación y desarrollo (p.ej. convocatorias CDTI Cervera, MICIU PCPPs, etc.), desde la toma de requerimientos con el cliente hasta el planteamiento de la solución técnica y la redacción del plan de trabajo.
• Redactar documentación técnica básica, relacionada con las soluciones implementadas en los proyectos.
• Participar en la redacción de artículos y presentaciones para compartir los resultados de la investigación y el desarrollo con la comunidad académica y la industria.
  
  

• Formación en ámbitos relacionados con el machine learning y la inteligencia artificial
• Formación de idiomas (catalán, castellano, inglés)
• Horario flexible y esquema híbrido de teletrabajo
• Jornada laboral intensiva los viernes y horario de verano
• Añádete a un equipo dinámico y multidisciplinar
  
  

• Experiencia de, al menos, 3 años en el ámbito del machine learning aplicado, con un foco especial en el forecasting, en el análisis de series temporales y en procesos estocásticos.
• Conocimiento y experiencia en análisis de datos, limpieza, preparación, pre-procesamiento y visualización.
• Experiencia en el lenguaje de programación Python y en sus librerías más importantes en los ámbitos del machine learning (scikit-learn), deep learning (PyTorch o tensorflow), series temporales (statsmodels, StatsForecast, etc).
• Altas capacidades de conceptualizar, diseñar y plantear soluciones.
• Buenas capacidades de exposición y documentación de las tareas realizadas.
• Experiencia en el uso de sistemas de control de versiones, en particular, Git.
• Idiomas: alto nivel en catalán y/o castellano (en caso de no tener un nivel mínimo de catalán, el candidato tendrá que hacer la formación ofrecida por Eurecat o por su cuenta a partir del momento de la incorporación); buen nivel de inglés.
  
  

• Conocimiento en técnicas de NLP: generación de word-embeddings, búsquedas semánticas, named-entity recognition, Large Language Models, Retrieval-Augmented Generation, etc.
• Conocimiento en sistemas recomendadores: content-based, collaborative filtering, Factorization Machines, etc.
• Conocimiento en reinforcement learning: Q-Learning, simulaciones de Monte Carlo, etc.
• Experiencia en proyectos en el sector de la movilidad.
• PhD en un ámbito relacionado con la Ciencia de Datos y el Aprendizaje Automático.
• Interés y experiencia en la investigación.
• Haber participado en la publicación de artículos científicos y asistido a conferencias internacionales.
• Haber participado en proyectos financiados por la Comisión Europea (Horizon Europe, H2020 y anteriores).
• Experiencia en el uso de Docker y de sistemas Linux.
  
  

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

Teletreball 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.

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

. Python TSQL Cloud Coumputing R Machine Learning

Where will you work?

Our client offers culinary solutions in several countries of Europe and Africa with prestigious leading local brands, including Jumbo, Gallina Blanca, Erasco, Gino, Liebig, Star, Bama, D&L, Grand'Italia and Blå Band, among others.

What will you do?

We are looking for a forward-thinking Data Scientist who will combine advanced analytics with the latest developments in Generative AI and Agentic AI to deliver measurable business impact.

In this role, you will act as an individual contributor with strong influence across the business. You’ll design and deploy analytical solutions that directly fuel Top Line growth— helping expand our digital share—while also enabling transformation across Commercial and Marketing functions.

This is a unique opportunity to apply cutting-edge AI to both accelerate digital capabilities and drive growth, shaping the future of the company.

Who are we looking for?

Hard Skills

- Solid experience in Marketing Mix Modeling (MMM) and translating models into business impact.

- Strong expertise in machine learning, econometrics, causal inference, and applied statistics.

- Hands-on experience with Generative AI (LLMs, content generation, personalization engines) and Agentic AI (autonomous agents, decision intelligence).

- Proficiency in Python or R, SQL, and working in cloud environments.

- Strong understanding of consumer behavior, commercial dynamics, and media effectiveness.

Soft Skills

- Exceptional communication and storytelling skills to influence senior stakeholders.

- Proven ability to work cross-functionally and turn insights into business adoption.

- Entrepreneurial mindset with a passion for AI-enabled growth and transformation.

- Strong project ownership, delivering end-to-end data science solutions with measurable outcomes.

- Fluency in English and Spanish (mandatory); additional languages are a plus.

What do we offer?

- Hybrid working model.

- Flexible working hours.

- Ticket Restaurants.

- Pension plan.

- Fully equipped Gym.

- Breakfast and fresh fruit.

To stay up to date on available vacancies, we invite you to visit our website: www.talentsearchpeople.com or join our WhatsApp channel through the following link: https://whatsapp.com/channel/0029Vb6EGUmBFLgZgUG3942b.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada11 d’oct.

. Python TSQL Machine Learning Power BI Tableau

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Meet the team!

At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our marketplace, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.

As a Data Scientist – Insights, you will be a key player in shaping the future of our product and driving our strategy forward. Embedded within the Self-Learning squad, you’ll help launch and position a new AI-based speaking exercise. You’ll provide insights to drive innovation, boost adoption and engagement, and help learners build confidence outside the classroom. Your work will shape how Preply evolves its self-learning experience, enabling learners to progress independently while reinforcing tutors’ role in their journey. You’ll collaborate closely with product managers, tech leads, designers, and other stakeholders to deliver insights that guide those strategic decisions.

Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!

What You’ll Be Doing

• Develop a deep understanding of our classroom experience and user behaviors, from user flows and audio/video performance to usage of collaboration tools and lesson materials.
• Design and analyze A/B tests to validate product improvements (e.g., new UI changes, feature enhancements), quantifying their impact on key metrics such as adoption, user satisfaction, and retention.
• Help define tracking events and engagement metrics that align with business goals and product improvements.
• Investigate user pain points and propose data-driven solutions that address them.
• Collaborate with cross-functional teams (product managers, engineers, designers) to translate business and product questions into meaningful analyses, clear dashboards, and actionable recommendations.
• Communicate findings and insights to both technical and non-technical stakeholders, ensuring data informs strategic decisions and prioritization.
• Contribute to our data culture by sharing best practices, supporting data-driven experimentation, and continuously seeking ways to improve our data stack and processes.
  
  

• Experience in data analytics (+5 years) working with product teams, experimenting and uncovering opportunities for product optimization.
• Experience designing and analyzing A/B tests with a solid grasp of relevant statistical concepts.
• Good understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.
• Proficiency in one or more programming languages (e.g., SQL, Python), with the ability to write efficient and scalable code.
• Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.
• Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.
• Team spirit and an eagerness to collaborate across product, engineering, design, and other data teams.
  
  

• Background in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).
• Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).
• Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
• Master's degree in a quantitative field.
  
  

• An open, collaborative, dynamic and diverse culture;
• A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;
• A competitive financial package with equity, leave allowance and health insurance;
• Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub
• Access to free mental health support platforms;
• Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
  
  

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
  
  

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada10 d’oct.

. Python Agile Machine Learning

👀 Et consideres una persona dinàmica i amb ganes d’aprendre?

🤜🤛 T’agrada col·laborar i treballar en equip?

💻 Tens passió per la tecnologia?

Si tens ganes de posar en pràctica els teus coneixements i participar en un projecte real, no dubtis a inscriure’t, estem cercant una persona com tú!

🎯 La nostra proposta

Som l'empresa de consultoria i serveis digitals avançats de la Universitat Politècnica de Catalunya (UPC). Creem solucions i serveis que ajuden a les organitzacions a ser més competitives millorant la vida de les persones. Combinem el coneixement generat a la UPC amb el talent i l'experiència del nostre equip format per més de 200 professionals de l’enginyeria i la consultoria, adquirida treballant en projectes i empreses líders des de fa més de 20 anys. Facilitem el creixement de les persones del nostre equip perquè siguin les i els líders tecnològics del futur. Ho fem en un bon ambient de treball i amb condicions flexibles.

Busquem una persona que participi en projectes que integren analítica avançada, arquitectures de gestió de dades, business intelligence i/o algorismes d’intel·ligència artificial per tal de construir solucions i serveis que facilitin la presa de decisions.

🏁 El teu repte

• Dissenyar i desenvolupar models i solucions avançades basades en dades per donar resposta a necessitats de negoci, aplicant tècniques de machine learning, IA generativa i anàlisi predictiva.
• Utilitzar metodologies avançades de programació, matemàtiques i estadística per transformar dades en coneixement accionable i generar impacte en la presa de decisions.
• Donar suport al cap de projecte en el disseny de les solucions que donin millor resposta a les necessitats de cada projecte a partir dels recursos i capacitats disponibles.

🔍 Necessitaràs

Formació: Es requereix titulació universitària en Enginyeria Informàtica, Enginyeria de Telecomunicacions, Grau en Ciència de Dades o Intel·ligència Artificial. Només es consideraran candidatures amb aquesta formació.

Experiència:

• Mínim de 2 anys d'experiència en una posició similar
• En tècniques d’Intel·ligència Artificial: Machine Learning, IA Generativa, NLP, Deep Learning ...
• Programació amb Python

Coneixements:

• Enginyeria de dades

Competències:

• Capacitat de treball en equip
• Capacitat analítica i de resolució de problemes
• Habilitats de comunicació
• Capacitat d’aprendre de manera autònoma
• Idiomes: Català i castellà imprescindibles, tant en comprensió com en expressió oral i escrita.

🌟 Destacaràs si tens...

• Màster o Postgrau en Data Science o Intel·ligència Artificial
• Experiència prèvia amb metodologies Agile

🫶 Com IThinkUPC cuida de tu

🤝 Incorporació immediata

🌱 Estabilitat laboral i creixement professional

⚖️ Conciliació de la vida personal i professional: disposem d’un innovador i premiat programa propi de conciliació "PEOPLE FIRST" perquè ens importen les persones de la nostra companyia. Aquest programa inclou un conjunt de mesures en diferents àmbits per afavorir la conciliació:

⏳ Jornada de 37.5h setmanals

🕙 Flexibilitat d'horaris d'entrada i sortida

🗓️ Jornades intensives (estiu, Setmana Santa, Nadal i tots els divendres de l'any)

✈️ 28 dies hàbils de vacances a l'any

✍️ Permisos addicionals de maternitat i paternitat, exàmens, etc.

🧑 💻 Model híbrid de teletreball

🎉 i altres permisos especials

📚 Desenvolupament professional: disposem d’un programa de formació contínua que t'ajudarà en el teu desenvolupament professional: certificacions oficials, campus online propi, formacions tècniques i en habilitats, formació en anglès, congressos, etc.

✔ Avantatges econòmics a l'entorn UPC: fins un 40% de descompte en programes de màster, postgrau i cursos de formació contínua a la "UPC School", descomptes a l'Òptica Universitària, Esports UPC, etc.

💰 Pla de retribució flexible d'acord a les teves necessitats: abonament de transport, tiquet restaurant, assegurança mèdica i tiquet guarderia.

T’agradaria unir-te a nosaltres en aquesta aventura? 🚀

• 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.).
• Language skills: at least intermediate proficiency in both English and Spanish (for team communication and documentation).

Nice-to-Have Skills:

• Experience with financial data, especially in lending.
• 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 🚀

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

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.
  
  

• 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.
  

• 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 🌱