Ofertas de empleo para Hadoop

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada23 abr.

Teletrabajo . Python Agile TSQL Hadoop OCR Spark Big Data Machine Learning Office

Job Description

At ING we are looking for Senior Data Scientist

Your role and work environment:

We are looking for a talented and enthusiastic Senior Data Scientist to join our Advanced Analytics Team of Growth

The responsibility of this team is to develop all type of AI models and analytical products in the field of Machine Learning and Big Data context. Our way of working mirrors our eagerness to innovate and the agile methodologies are on our daily basis

Your key responsibilities:

As a data scientist you will:

Proactively take end-to-end ownership of the design and delivery of ML products across multiple departments within the bank. This includes a broad range of AI/ML solutions such as credit risk and decision-making models, churn prediction, recommendation systems, NLP solutions, income and expense estimation, data categorisation, clustering and segmentation, pricing models, OCR, and more.

You will co-create and evaluate business solutions using the best predictive approaches, working in cross-functional and international teams made up of business stakeholders, data analysts, data scientists and engineers.

You will also act as project manager making sure each solution meets business requirements, delivers tangible value to our clients, and adheres to our high standards of coding quality, robustness and engineering excellence.

What are we looking for?

Want to know if this job is made for you? These are some of the qualities that we value the most for this role. And if the shoe fits… don’t hesitate to apply!

We are seeking a passionate and highly skilled Data Scientist used to work near to business, understand the challenges and who proposes solutions proactively, defining the appropriate analytical solution for each challenge.

Our dreamed candidate will be:

- A value-driven professional, with a strong focus on delivering meaningful business impact.

- Holds a degree in Mathematics, Statistics, Computer Science, or a related field.

- Proven experience in data analysis, data visualisation and the development of predictive

models, particularly supervised learning models.

- Strong command of SQL and Python, along with experience in distributed computing

frameworks such as Spark, Hadoop, Hive, and similar technologies, as well as modern MLlibraries.

- Comfortable working with Git-based workflows, including code repositories and peer reviews.

- Able to communicate technical insights clearly and effectively, even to non-technical

stakeholders.

- A strong team player, with the ability to collaborate effectively and tackle complex challenges in a dynamic environment.

What do we offer?

The time you spend at work, the challenges you face or the lessons you get are very important, but… What about your personal life? At ING we want your work to fulfill you in every way, and that is why we take care of even the smallest details.

Check out what is waiting for you!

Be flexible my friend.

Our model is all about flexibility and accountability. Keeping both our customers and our colleagues’ needs in mind, you determine together which days you work at home and which you come to ING MAD to offer your best self. Do your thing.

Restaurant card.

So that thinking about what to have for lunch doesn’t take up your time or your cravings.

Our house will be your home.

In our offices you can find electric mobility solutions, doctor, hairdresser, gym, The Good Service (to help you with your errands) and much more!

Health insurance.

For you and all your family (spouse/partner and children).

Life insurance.

We help you protect what matters most to you.

Flexible remuneration.

In addition, you will enjoy our flexible remuneration model, through a more tax-advantaged way, you will be able to access other services such as nursery, transport card, training aids…

Free company shuttle.

It doesn't matter where you live. We have 6 routes (North, Central, South, A5, A42 and A6) to get you to our ING office in Madrid comfortably.

Banking benefits.

Special loans with more beneficial conditions.

Special mortgage conditions after 6 months working at the bank.

And you can benefit from our pension plan after 1 month with us!

More vitality and more belonging

360º care of the employee (physical, mental, social connection & purpose).

Physiotherapy service on site.

Clinics with professional, world-class athletes.

Gympass service.

Employee Networks: Rainbow Lions (LGBTQI+), Leonas & RIÑG.

International Remote work program.

Get to know Us

We are a team of more than 1800 people sharing one idea: doing our bit in helping our clients create a better future for themselves, by providing them with the tools they need to get where they want to go.

A fully online bank where technology, innovation, simplicity and transparency are the main ingredients, and the first one to work with agile methodologies.

And although we are based in Spain, we are lucky to work in an international bank with presence in more than 40 countries.

We are proud to have a diverse team, and we are committed to continue developing a culture of Diversity, Inclusion and Belonging to foster a culture of collaboration and innovation that represents all collectives in the society.

And even though we look orange on the outside, we are green on the inside. Our ambition in Sustainability is Empowering (y)our Sustainability journey. We are embarking on our path, for us, but we are also there for when our clients decide to embark on this journey.

Making things happen, helping others be successful, always being one step ahead—that’s our DNA. If you look at yourself in the mirror and your reflection matches our way of being and working…we are looking forward to meeting you!

At ING, you belong just as you are. We hire and support people for their talent and potential — and we know that when you can be yourself, you do your best work.

Job Application Safety Reminder

We’re seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:

•Apply only via official ING platforms: ING uses Workday and LinkedIn as its internal recruitment system. Applications should be submitted only via our official career site or via ING job postings on LinkedIn.

•Check the sender’s email carefully: Legitimate communication will always come from @ing.com and/or @myworkday.com.

•No payments or banking details will ever be requested: If someone asks for this information, it’s a scam.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada21 abr.

. MongoDB Python Hadoop R Cassandra MATLAB Big Data Machine Learning

Management Solutions es una firma internacional de consultoría centrada en el asesoramiento de negocio, finanzas, riesgos, organización, tecnología y procesos, tanto en sus componentes funcionales como en la implantación de sus tecnologías relacionadas. Contamos actualmente con un equipo multidisciplinar (funcional, matemático, técnico y de integración de sistemas) de 4.000 profesionales.

Desarrollamos nuestra actividad a través de 51 oficinas, 22 en Europa, 24 en América, 3 en Asia, 1 en África y 1 en Oceanía, desde donde atendemos de manera recurrente a clientes que operan en más de 50 países de cinco grandes áreas geográficas (Europa, América, Asia, África y Oceanía).

Funciones

Incorporación e integración en equipos de trabajo realizando funciones de:

• Tratamiento estadístico de datos (data mining y knowledge discovery).
• Modelización predictiva mediante técnicas de machine learning y data science.
• Modelización de eventos temporales (series temporales, modelos ARIMA).
• Desarrollo de modelos de simulación (Monte Carlo).
• Revisión y validación de modelos regulatorios en el ámbito financiero.
• Apoyo quant al negocio: desarrollo de algoritmos, estadística y probabilidad.
• Proyectos de I+D.

Requisitos

• Recién titulados o estudiantes de último curso de Grado en Matemáticas, Físicas, Estadística, Econometría, Ingeniería u otros estudios con fuerte componente cuantitativo.
• Sólida trayectoria académica.
• Dinamismo, madurez, responsabilidad y capacidad de trabajo.
• Nivel de inglés avanzado.
• Valorable la realización de estudios específicos de postgrado, en especial Data Science, Finanzas Cuantitativas o similar
• Manejo avanzado de herramientas informáticas.
• Valorable conocimiento de técnicas de modelización (logit, GLM, series temporales, árboles de decisión, clustering, etc.), lenguajes de programación estadística (SAS, R, Python, Matlab, etc.) y herramientas y plataformas de big data (Hadoop, MongoDB, Cassandra, Pig, Hive, etc.)
• Alta capacidad de aprendizaje.
• Facilidad de integración en equipos multidisciplinares.

Ofrecemos

Ofrecemos la incorporación a una Firma que ofrece todo lo necesario para el máximo desarrollo profesional

• Trabajar en los proyectos de consultoría más relevantes del sector;
• para las mayores compañías, líderes en sus respectivos mercados;
• junto al top management empresarial, ante sus retos nacionales e internacionales;
• junto a un extraordinario equipo de profesionales, cuyos valores y cultura corporativa son una referencia en el sector.

Formación

• Plan de formación continuo
• 600 horas de formación durante los dos primeros años
• Cursos de conocimientos, cursos externos especializados, de habilidades y de idiomas
• Todos los incorporados a nuestra Firma cursan el Máster en Consultoría de Negocio Management Solutions – ICADE Business School, con especialización en Big data y Data Science para perfiles técnicos

Plan de carrera

• Plan de carrera claramente definido
• Promoción interna basada en tu desempeño y potencial
• Gestión basada en el partnership, ofreciendo a cada profesional la meta de formar parte del colectivo de socios

Actividades complementarias

• Universidad: mantenemos una estrecha relación con las universidades más prestigiosas a nivel mundial
• Acción Social: más de 30 actividades solidarias cada año
• Club deportivo: campeonatos internos y externos

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

. API Python TSQL Azure Cloud Coumputing Git Hadoop AWS DevOps Spark Big Data Machine Learning Office

In a few words

Position: Data Scientist

Location: Madrid (Chamberí area).

Want to know more? 👇

INSUD PHARMA operates across the entire pharmaceutical value chain, providing specialized knowledge and experience in scientific research, development, manufacturing, sales, and marketing of a wide range of active pharmaceutical ingredients (API), finished dosage forms (FDF), and branded pharmaceutical products, adding value to human and animal health.

The activities of INSUD PHARMA are organized into three synergistic business areas: Industrial (Chemo), Branded (Exeltis), and Biotech (mAbxience), with over 9,000 professionals in more than 50 countries, 20 state-of-the-art facilities, 15 specialized R&D centers, 12 commercial offices, and more than 35 pharmaceutical subsidiaries, serving 1,150 customers in 96 countries worldwide. INSUD PHARMA believes in innovation and sustainable development.

Ready to be a #Challenger?

What are we looking for? 🔎

We are the Data Science team within AI Labs, the applied AI department at Insud Pharma. We are a team of 30 professionals (AI Engineers, Data Scientists, DevOps Engineers, and Product Managers) working across the full breadth of the company, building products, models, and analytical solutions that directly inform and shape decision-making.

We are looking for an Applied Data Scientist with strong technical foundations who is eager to work across diverse and complex problem domains (R&D, drug manufacturing process optimization, clinical trials, and beyond). You will model problems from the ground up—defining the right framing, selecting appropriate methodologies, and owning solutions through rigorous development to full deployment.

We are seeking someone curious enough to tackle varied challenges (graph theory, embeddings, neural network forecasting models, causality, Bayesian optimization), rigorous enough to justify every technical and methodological decision, and independent enough to deliver end-to-end impact while taking full ownership of their work.

How the team works:

AI Labs operates with a startup mindset within Insud Pharma. The department is young, and the culture reflects that: flat, collaborative, and fast-moving. Beyond the Data Science team, you will work alongside AI Engineers, DevOps Engineers, and Product Managers who are equally committed to delivering high-quality work.

We hold regular demo days where teams present their work, as well as whiteboard sessions where we tackle problems together. The cross-disciplinary dynamic is genuinely strong. The office is located in central Madrid (Chamberí, near Eloy Gonzalo), well connected and situated in a vibrant part of the city.

The challenge!

• Collaborate with small, cross-functional teams. Each project is run by a small group — typically a Product Manager, a Data Scientist, an Engineer, and key stakeholders. Iteration is fast, feedback loops are short, and your contribution is visible from day one.
• Conduct exploratory data analysis to uncover patterns and insights in large datasets.
• Design, implement, and validate machine learning models and statistical methodologies to solve high-impact, real-world business problems.
• Translate technical findings into clear narratives, visualizations, and decision frameworks for both technical and non-technical stakeholders, enabling informed and data-driven decisions.

What do you need?

• Strong understanding of statistics, machine learning, and data mining techniques.
• Expertise in Python programming, including proficiency with data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow…).
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Proven ability to translate complex technical concepts into clear, actionable insights for non-technical audiences.
• Knowledge and experience in causal inference methodologies will be highly valued.
• Knowledge of deep learning architectures and natural language processing is beneficial.
• Familiarity with Large Language Models (LLMs) and their applications in business contexts is a plus.
• Experience with version control systems (e.g., Git) and collaborative development practices.
• Clean, maintainable code and familiarity with software engineering best practices.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases is a plus.
• Proficient in Spanish and English in written and verbal communication.

Our benefits!

⏰ Flexible start time from Monday to Friday

📜 Permanent contract.

🥼 Life and accident insurance.

🍽️ Ticket restaurant

💻 Training and language learning platform

💆🏻 ♀️ Wellness platform with unlimited free psychologist sessions

🚕 Cabify transportation service for employee use

📈 Development plans, internal mobility policy.

⭐ Many more!

What will the Selection process be like? 🕵️

➡️ Stay tuned to your phone and email! The first thing we will likely do is contact you through one of the two channels.

➡️ Prepare well! We will continue with an in-person/virtual interview depending on availability and what we agree upon; there may be one or two interviews in the process, and depending on the type of process, there may also be some kind of test.

➡️ Wait for the result! We care that you feel guided throughout each selection process and know what to expect from us, so we will always try to inform you of the status of the process.

🔷 Do you think this offer is not for you? 🔷

Follow us on social media like LinkedIn/Instagram and stay tuned for any offers we may release; the opportunity to be a new Insuder is waiting!

#InsudPharma #Challenger #Insuder #InsudTalent

COMMITMENT TO EQUAL OPPORTUNITIES

The InsudPharma group is aware that business management must align with the needs and demands of society, and therefore assumes the commitment to equal opportunities and treatment between men and women, as stated in the current regulations on the matter - Organic Law 3/2007, and we do not discriminate against any person on the grounds of ethnicity, religion, age, sex, nationality, marital status, affective or sexual orientation, gender identity or expression, disability, or any other personal or social circumstance.