Grundlæggende

Data Scientist

madrid, Spain Selskab: JR Spain Klient / Arbejdsgiver: ING Hubs Spain
Opslået: 21.05.2026
Afslutningsdato: 05.07.2026
Jobreference: 570a754b085e08a0d5f8a96183cfa772

Jobinformation

Beliggenhed
madrid, Spain
Selskab
JR Spain
Klient / Arbejdsgiver
ING Hubs Spain
Jobreference
570a754b085e08a0d5f8a96183cfa772
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
21.05.2026
Afslutningsdato
05.07.2026

Jobbeskrivelse

At ING Hubs Spain we are looking for a Data Scientist Your role and work environment:

We are looking for a talented and enthusiastic Data Scientist to join our Team at ING Hubs Spain

You will join ING’s Global Threat Management (GTM) team, a central capability within the CISO domain that focuses on intelligence driven, proactive defence.

The team works across geographies and disciplines to anticipate emerging threats, investigate advanced attack scenarios, and continuously improve ING’s detection and defensive posture. Collaboration, communication, ownership, and impact are core to how we work.

Your key responsibilities:

As a Data Scientist in Cyber Threat Management, you will:

  • Design and develop advanced analytics, machine learning, and AI‑assisted models to support cyber threat identification, prioritisation, and investigation.
  • Transform large‑scale security, threat intelligence, and telemetry data into actionable insights for threat hunters and decision‑makers.
  • Build and maintain data‑driven threat models that link adversary behaviour, vulnerabilities, and exposure.
  • Apply automation and AI techniques to accelerate threat analysis, pattern discovery, and hypothesis testing.
  • Collaborate with cyber threat hunters and detection teams to operationalise analytics into real‑world security use cases.
  • Communicate complex analytical outcomes in a clear, structured, and decision‑oriented way for technical and non‑technical stakeholders.
What are we looking for?

Do you 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!

  • Translate complex cyber threat problems into data driven solutions.
  • Apply data science, machine learning, or AI in a practical, outcome focused way.
  • Work confidently with large, diverse, and imperfect datasets.
  • Partner effectively with cyber security experts to deliver real operational impact.
  • Balance innovation with governance, quality, and explainability.
  • Communicate insights clearly and influence decisions through data.
  • A degree in Data Science, Computer Science, Mathematics, Engineering, or a related field, or equivalent practical experience in applied data science.
  • Relevant certifications in data science, machine learning, cloud platforms, or cyber security (e.g. AI/ML, cloud, or security analytics related) are an advantage.
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.

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…

It doesn't matter where you live, we’ll help you get to the office.

Pension plan.

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

Discover ING Hubs Spain

We’re building something exciting—and we want you to be part of it.

ING is launching the new member of ING Hubs in Spain, an integral part of ING in charge of designing and delivering important technological and operational solutions to make banking frictionless for our customers. ING Hubs play a key role in our ‘Growing the difference’ strategy to become the best European bank. This will be our sixth global hub, joining a network of over 13,000 professionals in the Philippines, Poland, Romania, Slovakia, Türkiye and Spain.

What makes us different?

We have a tech-first mindset: We’re not just a bank—we’re a tech company that happens to do banking. Our new hub will be a center of excellence for scalable, fast, and secure technology.

We have global impact: You’ll be working on solutions that serve more than 34 million of customers in over 38 countries.

We are agile: ING was the first bank to adopt agile at scale. We continue to evolve with a collaborative, cross-functional way of working.

Sustainability at the heart of what we do: We have a role to play in defining new ways of doing business that align economic growth with positive environmental and social impact.

At ING, we believe in diversity, inclusion, and belonging. We’re proud of our international teams and are committed to creating an environment where everyone can thrive. We value authenticity, collaboration, and continuous learning.

We’re looking for curious minds, bold builders, and passionate problem-solvers. If you’re looking for a place to find new ways to drive efficiency and provide superior customer value, where your ideas matter, and where you can grow with purpose—we’re looking forward to meeting you.

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Færdigheder

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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