Data Science Manager– Digital & Customer Interactions

Key Skills

Big Data Technology, Cloud computing, Data science techniques, Dataproc, Dutch language, English Proficiency, Google BigQuery, PySpark, Python Programming

Job Description

ING is looking for a Manager Data Science – Digital & Customer Interactions

Who are we?

At ING, we aim to become the best mobile-led bank on the continent. The Tribe Digital & Customer Interactions is responsible for achieving the digital sales objectives and for further developing all digital interactions with customers. With over 70 data analysts and scientists, we ensure to accelerate the transition towards becoming a fully data-driven organization. We work in multi-disciplinary teams, while being allocated as data consultants both internally as to other departments.

At ING we are promoting diversity and want to make our teams as a reflect of our world. Even if your profile doesn't match the job description 100%.

If you recognize yourself, don't hesitate to apply,

Who are we looking for?

In order to increase our analytical capabilities, we’re looking for a Manager (Chapter Lead is the ING job title) Data Science. In this role you contribute as a manager and data scientist in order to realise our ambitions. By understanding our customer’s actions, behaviours and products you deliver high impact data-driven solutions. As a Chapter Lead Data Science:

• You identify new trends and technologies to refine and implement the analytics strategy together with fellow chapter leads
• You drive impact by identifying opportunities and enable data scientists to deliver data-driven solutions in different business domains
• You maximize the potential of your team, stimulate them to keep developing themselves and build psychological safety
• You embody our orange code in your professional manner: you take on activities and responsibilities and make them happen, you help others to be successful, and you are one step ahead in anticipating your colleagues and stakeholders.

Your competencies and experience

• A MSc or PhD in Mathematics, Statistics, Economics, Computer Science, Engineering or similar
• You have multiple years of proven experience and success in relevant roles in the field of Data Science
• You have knowledge about the latest developments in the Data Science community (methods and tools) combined with the ability to decide which of these are most relevant to ING and translate them in into opportunities
• You have strong knowledge of existing and emerging analytics products, open source, and cloud technologies : Google Cloud Platform (BigQuery, Dataproc), PySpark, Python...
• You have successfully managed the end-to-end delivery data-driven solutions, including resourcing, budgeting, and prioritisation
• You are analytically strong and are very senior in accessing and solving problems
• You can display style flexibility to teams and adapt plan, approach and behaviour to the different needs and situations
• You have strong organisational sensitivity; ability to understand and take into account the underlying issues, opportunities and dynamics of an organisation
• You focus on delivery through collaboration, ability to bring people together to work towards the same purpose
• You have the willingness to continuously learn: be open to feedback, develop on the technical and the interpersonal level
• You are fluent in written and spoken English. Although Dutch is a pre, it is not necessary

Rewards and benefits

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm

The benefits of working with us at ING include:

• A salary tailored to your qualities and experience
• 24-27 vacation days depending on contract
• Pension scheme
• 13th month salary
• Individual Savings Contribution (BIS), 3.5% of your gross annual salary
• 8% Holiday payment
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues
• Work Agile, so new ideas come to life faster