Ofertas de empleo de Científico/a de Datos en Barcelona

• Nivel de experiencia---
• Tipo de contratoTemporal
• PublicadaNueva

Teletrabajo .

Mission

If you have a passion for data and technology and want to join a crew of sharp analytical minds, this may be the right opportunity. As an intern, you will get a chance to take part in typical tasks our data scientists do daily:

• Translate business needs to technical requirements
• Design, develop and implement statistically grounded methodologies to address the business needs
• Debugging and problem-solve issues to ensure the delivery of accurate metrics
• Create and document reusable packages and libraries
• Dive into technical problems and figure out solutions that enable our product to be meaningful
  
  

Your profile

• Ongoing or finished bachelor’s degree in Mathematics, Statistics, Engineering, Data Science, or other related fields.
• This opportunity is open exclusively to currently enrolled Bachelor's or Master's degree students. Graduates are not eligible to apply.
• Highly motivated, dynamic, detail-oriented, people-person.
• Strong multi-tasking skills.
• Strong interpersonal and communication skills either verbal or in written form.
• Ability to work in a fast-paced environment.
• Advanced level of English
  
  

Who are we?

Are you ready to take part in the upcoming AI revolution of the business world? If the answer is a resounding "yes," we have an extraordinary for you!

Aily Labs, founded in 2020, is an exciting and rapidly growing startup based in Munich, Barcelona, Madrid and Cluj. With a team consisting of over 250 passionate and skilled ML Engineers, Data Scientists, and Developers, we are dedicated to our ambitious objective of democratizing AI. 

We have harnessed cutting-edge technology to develop an exceptional AI mobile app that goes beyond conventional solutions. By seamlessly providing immediate business insights, we are poised to revolutionise the corporate landscape.

Our vision is to establish ourselves as the preferred platform for AI-driven decision-making, setting new standards in the industry. We firmly believe that our state-of-the-art technology empowers organisations to make faster and more intelligent choices.

By joining our team, you will have the opportunity to be at the forefront of this transformative movement, shaping the future of intelligent decision-making in remarkable ways.

What sets us apart?

• We are an internationally diverse and young team with more than 30 nationalities.
• We develop high-quality, beautiful software and thus create sustainable added value for our customers.
• We pay competitive salaries and reward performance
• We live an open feedback culture so that we can constantly reflect and improve.
• We offer flexible remote work with free time management within the projects.
• We enjoy new technologies, are open for innovative ideas and foster trial and error principles.
• We give freedom for further training because lifelong learning is important to us.
• We do cool and fun offsites (e.g. Ibiza. Kitzbühel), and regular casual get-togethers.
  
  

About Us

LEARN MORE

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada17 nov.

. Python TSQL R Machine Learning

¡Impulsa tu carrera con AXPE Consulting! 🚀💻

En AXPE Consulting estamos revolucionando el mundo de la Tecnología y queremos que formes parte de esta aventura. Te invitamos a vivir una experiencia única en una compañía multinacional con presencia en Europa y América, que no solo mira al futuro, sino que lo construye.

Nuestros valores son el motor que impulsa nuestro propósito y define nuestra identidad: en AXPE, apostamos por el TALENTO.

🔍 ¿Eres un/a Data Scientist con experiencia en analítica avanzada y visión estratégica?

Desde nuestro Departamento de Data & Analytics, buscamos un perfil con formación sólida en estadística, machine learning y modelización avanzada para impulsar iniciativas clave de negocio y apoyar la toma de decisiones estratégicas.

Si te apasiona entender el comportamiento del cliente, descubrir patrones complejos y transformar datos en impacto real… ¡esta oportunidad es para ti!

💡 ¿Qué esperamos de ti?

• Titulación o sólida formación en Matemáticas, Estadística, Data Science o áreas afines.

• Mínimo 2 años de experiencia en entornos de negocio, marketing o trade.

• Conocimientos avanzados en estadística, econometría, análisis causal y machine learning.

• Dominio de Python, R, SQL y herramientas de visualización de datos.

• Capacidad para manejar contextos ambiguos, resolver problemas complejos y analizar información desde un enfoque crítico.

• Habilidades de data storytelling para comunicar hallazgos de forma clara, estratégica y orientada al negocio.

• Perfil autónomo, ágil y capaz de gestionar múltiples solicitudes en paralelo.

• Nivel de inglés alto para interactuar con equipos locales e internacionales; francés valorado positivamente.

🎯 Se valorará positivamente:

• Experiencia en clustering avanzado, segmentación de clientes y análisis de comportamiento.

• Conocimientos en técnicas de causal inference, AB testing y evaluación de impacto.

• Experiencia colaborando con equipos comerciales para convertir datos en insights accionables.

• Capacidad para desarrollar modelos que expliquen relaciones causa–efecto y factores de crecimiento.

• Experiencia generando informes regulares y ad-hoc para soportar decisiones estratégicas.

🌟 ¿Qué te ofrecemos?

• 📍 Proyecto estable en un entorno multinacional y multidisciplinar.

• 💼 Contrato indefinido desde el primer día.

• 💰 Salario competitivo, alineado con tu experiencia y proyección.

• ⚕ Seguro médico a precio reducido.

• 📚 Acceso a formación continua y certificaciones, impulsando tu crecimiento profesional.

• 🌍 Formar parte de un equipo que apuesta por el talento, la innovación y la excelencia.

• 🏡 Modalidad híbrida y horario flexible, promoviendo la conciliación.

En AXPE, el talento es nuestro eje.

Somos expertos en tecnología y tenemos un firme compromiso con la responsabilidad corporativa. Promovemos la educación tecnológica y ofrecemos oportunidades tanto a nivel formativo como laboral.

📢 ¡Ser parte de AXPE es liderar la transformación tecnológica!

¿Estás listo/a para dar el siguiente paso? 🧑 💻🚀

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada16 nov.

. Python Cloud Coumputing Git Office

We’re hiring a Python‑first, statistics‑strong Data Science Intern (or junior ML Engineer) to partner with our Data Analysts on the hardest problems we have: probabilistic LTV, churn prediction, and forecasting that actually moves CAC, payback, and ROAS.

⚠️ READ THIS FIRST — Apply only if you meet this:

• Eligibility: You’re currently studying at a university in Spain (ideally in or near Barcelona) and can sign a "convenio de prácticas". This position is open exclusively for internship agreements.

If you’re not sure whether your university can provide one, please confirm with them before applying, as we’ll automatically filter out candidates who can’t meet this requirement.

Otherwise, feel free to check out our other junior roles on the Carrots Lab LinkedIn page › Jobs

where a "convenio" isn’t required.

⭐ WHAT YOU’LL OWN (Your Mission)

• LTV Prediction & Probabilistic Forecasts
• Build, compare, and iterate LTV models (e.g., survival/retention‑based, zero‑inflated + Gamma, GBMs). Produce calibrated predictions we can trust for UA and pricing.
• Churn & Retention Modeling
• Predict churn windows and retention curves by app/geo/cohort to inform payback and creative/keyword strategy.
• Signal Engineering for UA
• Translate model outputs into conversion signals (e.g., value‑based bidding targets) that improve Google/Meta optimization.
• Revenue & Cohort Analytics (Python)
• Pull, transform, and join event & purchase data (RevenueCat, AppsFlyer, Firebase, BigQuery) into model‑ready datasets.
• Decision Science
• Evaluate A/B tests (frequentist or Bayesian), pricing experiments, and funnel changes with confidence intervals and practical uplift.

📈 WHAT SUCCESS LOOKS LIKE (90 Days)

• LTV v1 shipped per flagship app with baseline vs. model comparison (e.g., MAE/RMSE or calibration plots) and a documented retrain cadence.
• Churn or retention model v1 that beats naive benchmarks (e.g., 30‑day retention mean) and informs UA payback assumptions.
• Signal spec delivered: which in‑app events/values we should pass to ad platforms, how to weight them, expected CPA impact.
• Reproducible codebase: clean notebooks/scripts with README, functions, and basic tests; data pulls automated in Python.
• Live dashboards (with Sergi): LTV/payback & cohort views wired to Looker for weekly decision‑making.

🧠 WHAT YOU’LL DO (Day‑to‑day)

• Write Python every day: data prep, feature engineering, modeling, evaluation, and reporting visuals.
• Query data from BigQuery/RevenueCat/AppsFlyer/Firebase via Python; assemble tidy training datasets.
• Train and compare models (e.g., linear/GLM, XGBoost/LightGBM/CatBoost, survival analysis, time‑series).
• Calibrate predictions (Platt/Isotonic), monitor drift, and set up retraining logic.
• Package insights for UA and Product: concise memos, charts, and clear “so‑what” recommendations.
• Pair with Sergi (analytics & viz) and the CEO (UA/product strategy); own the technical depth.

🛠️ WHAT YOU MUST HAVE (Hard Requirements)

Non‑negotiable. Please apply only if you meet all.

• Python: strong hands‑on with pandas, NumPy, scikit‑learn, Jupyter.
• Statistics & ML: probability, hypothesis testing, regression, classification, evaluation & calibration.
• Project evidence: at least one end‑to‑end model you can show (repo/notebook; academic is fine if applied).
• Autonomy & speed: ability to self‑direct, research, and ship working code without step‑by‑step guidance.
• Communication: explain complex modeling choices in plain language, with actionable conclusions.
• Availability: full‑time in Barcelona (hybrid), 6+ months commitment.
• Work authorization: able to work in Spain (student internship agreement or junior contract).

🎯 NICE‑TO‑HAVE (Great to see)

• Bayesian modeling (PyMC/Stan), survival analysis (lifelines), time‑series (statsmodels).
• Gradient boosting (XGBoost/LightGBM/CatBoost) and model calibration.
• Experience with BigQuery (via Python), RevenueCat, AppsFlyer, Firebase, Amplitude.
• Basic Git, packaging, and testing discipline.
• Prior exposure to subscription datasets (trials, renewals, cancellations, grace periods).

🧩 HOW WE WORK

• Stack: Python, BigQuery, Looker, RevenueCat, Firebase, AppsFlyer, Amplitude, Google Cloud.
• Cadence: weekly experiment reviews; model metrics > opinions; minimal meetings; fast iterations.
• Culture: high speed, high standards, zero drama. We spend every euro like it’s our own.

🎁 WHAT WE OFFER (Compensation & Benefits)

We offer a high-impact, high-autonomy role with a reward structure aligned to the company's growth in Barcelona.

• Paid Internship: This is a remunerated full-time position designed to give you real ownership and impact — not just “student tasks.”
• The compensation is competitive for top data students or recent graduates in Barcelona.
• Flexibility & Time Off: Flexible working hours, 25 days annual leave, and 1 month of 'work from anywhere' outside of Spain.
• Executive Workspace & Tech: Private offices at Norrsken House Barcelona (with complimentary membership) and a generous €5,000 EUR budget for professional home-office equipment.
• Wellness: Option to require a high-end Gym Membership at innerflow.es, including Spa Access in the same office building.
• Cantina: Delicious, healthy, and flexible in-office catering — meals starting at just €2–€3.
• Training: Dedicated Budget for an education program.
• Career Trajectory: A Tailored career plan with performance reviews and salary calibrations every 6 months.

If you made it all the way down here…

Stop looking for entry-level jobs where they’ll spend six months “onboarding” you to clean up spreadsheets.

Come here and build real things from day one. Worst case? You’ll leave smarter.

Carrots Lab is an equal opportunity employer that celebrates diversity. All applicants will be considered regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability, gender identity, or expression.

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

Teletrabajo . Python

Join us as a Data Scientist

Want to do work that really matters?

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

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

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

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

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

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.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada1 sept.

API Python TSQL Azure AWS Power BI Spark Machine Learning Tableau .

NTT Data somos todas las personas que la formamos. Un equipo de más de 139.000 profesionales, tan diverso cómo diversos son los 50 países en los que estamos presentes y los diferentes sectores en los que desarrollamos nuestra actividad; telecomunicaciones, entidades financieras, industria, utilities, energía, administración pública y sanidad.

¿Nuestra misión? Ofrecer soluciones tecnológicas, de negocio, estrategia, desarrollo y mantenimiento de aplicaciones, siendo un referente en consultoría. Todo gracias a la colaboración entre equipos, la calidad humana de nuestra gente y a que no nos conformamos con lo establecido, buscamos siempre la innovación que nos acerca al futuro.

Descripción de la oferta: NTT Data desea contratar consultores de proyectos de analítica avanzada e IA para el departamento de Business Analytics – sector banca.

Las personas candidatas deben ser capaces de obtener conclusiones de negocio a partir de grandes volúmenes de información mediante la modelización avanzada de datos.

Es necesario tener alguna experiencia probada en desarrollo de proyectos analíticos en sector financiero.

Titulación: Formación en Matemáticas, Físicas, Ingeniería, Estadística o formación similar. Se valorarán Posgrados en Inteligencia Artificial y/o Ciencia del dato.

Experiencia: 1 - 3 años de experiencia en Analítica Avanzada y ciencia del dato aplicada a servicios financieros.

Conocimientos:

Requerido:

• Background analítico y de programación (Python, pyspark)
• Visualización de datos con herramientas como PowerBI, Tableau, Looker o similar
• Nivel Avanzado en inglés

Valorado:

• ETLs (SQL, Spark DataFrames API)
• Conocimiento de aplicaciones de machine Learning, Deep Learning y estadística en diferentes dominios. Conocimiento en natural language processing (NLP) y en Large Language Models (LLMs)

Deseable:

- Conocimiento de entornos de nube como Azure, GCP o AWS.

- Certificaciones en entornos de nube (Azure, AWS, GCP)

Soft skills:

• Fuerte pensamiento analítico.
• Buenas habilidades de comunicación.
• Trabajo en equipo y colaborativo.
• Toma de decisiones basada en datos.

¿Qué te ofrecemos?

Te ofrecemos la incorporación a una compañía que marca la diferencia estando cerca de nuestros clientes, superando las expectativas, gestionando proactivamente nuestros proyectos y a nuestros clientes y centrándonos en la calidad a través de la selección de los empleados con la mentalidad adecuada para asegurar nuestro crecimiento.

Más allá del alcance de tu responsabilidad directa, formarás parte de la práctica de Business Consulting en la que te encontrarás con un equipo dinámico, joven, entusiasta y siempre orientado hacia el éxito, a partir de una fuerte cultura emprendedora pero, sobre todo, de un gran ambiente de trabajo, en el que todos formamos parte de un proyecto compartido, y en el que todos somos importantes.

Trabajamos día a día para crear un entorno en el que podamos explorar, vivir y potenciar nuestra propia singularidad.

#WeAreAllUnique #YouMakeUsUnique