Java Programming, Python Programming, SQL, Git, Apache Hadoop, Machine learning techniques, Deep Learning, Jupyter Notebook, Google Cloud Platform (GCP), PySpark, Shell Scripting language, Netezza, PyCharm
We are looking for a Data Scientist to join ING. This team is at the heart of ING and its systems and algorithms are involved in the large scale of customer interactions. Your eagerness to learn is not only visible in the technical areas but also in how you develop your interpersonal skills. As a creative and curious Data Scientist, you are looking forward to solving a wide variety of real-world business problems. On top of this, you have the programming skills to write quality code that works in production. Machine learning, personalization, and analytics are at the core of what we do. We are looking for experienced data scientists to help us build the next generation of customer interaction experience at ING. Sounds interesting? Please read further.
Your key responsibilities
We look for
A colleague with a talent for taking it on and making it happen, enthusiasm for helping others to be successful and a knack for always being a step ahead. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.
As a Data scientist you will also need:
Bring in your machine learning, AI & data science knowledge to be applied on impactful projects
Use your technical efficiency to create production ready models and roll them out
Bridge the gap with non-technical profiles by engaging with stakeholders and driving the analytical roadmaps
We offer you
A clear purpose, a unique offer and a range of flexible compensation and other benefits:
A hybrid way of working
The ING Group is a Dutch multinational banking and financial services corporation headquartered in Amsterdam. Its primary businesses are retail banking, direct banking, commercial banking, investment banking, wholesale banking, private banking, asset management, and insurance services.
Melbourne VIC, Australia
2-4 year
Docklands VIC, Australia
2-4 year
Vilnius, Vilnius city municipality, Lithuania
2-4 year
Vilnius, Vilnius city municipality, Lithuania
2-4 year
Vilnius, Vilnius city municipality, Lithuania
2-4 year
Chennai, Tamil Nadu, India
4-6 year
Vilnius, Vilnius City Municipality, Lithuania
2-4 year
Boston, MA, USA
2-4 year
San José, Costa Rica
8-10 year
Bucharest, Romania
4-6 year
Melbourne VIC, Australia
10-12 year
Bengaluru, Karnataka, India
4-6 year
New Delhi, Delhi, India
4-6 year
Düsseldorf, Germany
8-10 year
Frankfurt, Germany
8-10 year
Zürich, Switzerland
8-10 year
Washington D.C., DC, USA
8-10 year
Copenhagen, Denmark
4-6 year
Helsinkivej, Silkeborg, Denmark
4-6 year
Oslovej, Rødekro, Denmark
4-6 year
Stockholm, Sweden
4-6 year
Bangkok, Thailand
6-8 year
Ho Chi Minh City, Vietnam
6-8 year
Jakarta, Indonesia
6-8 year
Kuala Lumpur, Malaysia
6-8 year
Manila, Philippines
6-8 year
Ho Chi Minh City, Vietnam
4-6 year
Jakarta, Indonesia
4-6 year
Kuala Lumpur, Malaysia
4-6 year
Manila, Philippines
4-6 year
Atlanta, GA, USA
10-12 year
Boston, MA, USA
10-12 year
London, UK
10-12 year
Munich, Germany
10-12 year
Melbourne VIC, Australia
2-4 year
Cologne, Germany
4-6 year
Frankfurt, Germany
4-6 year
Hamburg, Germany
4-6 year
Stuttgart, Germany
4-6 year
Dusseldorf, Germany
4-6 year
New Delhi, Delhi, India
14-16 year
New Delhi, Delhi, India
4-6 year
Bengaluru, Karnataka, India
14-16 year
Bengaluru, Karnataka, India
2-4 year
Bengaluru, Karnataka, India
4-6 year
New Delhi, Delhi, India
4-6 year
Bengaluru, Karnataka, India
4-6 year