Data Scientist in ING Analytics

ING’s purpose is to empower people to stay a step ahead in life and business. Our strategy is built around our purpose and making the difference for people and the planet. We are an industry-recognized strong brand with positive recognition from customers in many countries, a strong financial position, an omni-channel distribution strategy, and an international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data-driven products and solve the most pressing business challenges, please read on.

ING Analytics 
ING Analytics aims, by using data & AI, at differentiating ING as a leader in a data-driven organization, within the banking sector and beyond. The team consists of delivery tribes focused on the bank’s key domains (such as Operations, Retail Banking, Wholesale banking, etc.), local country analytics teams, as well as strong support areas around data management, technology, customer journey, UX, and an analytics office in charge of strategy, partnerships, portfolio and business development that you will be part of. 

We are incredibly excited about Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing superior customer experience. We wish to improve our operational processes and create new and innovative data-driven products that go beyond traditional banking, such as the platform models.  

Data Scientist III job purpose
You will be part of the ING Analytics, which is in charge of helping Tribe Leads and Chief Analytics Officers set and execute the ING Analytics strategy (internally and externally), monitor portfolio & collaborate with tribe leads in showing value & alignment with ING strategic programs, advance strategic partnerships with key industry/academic players, business development as well as daily operations. 

Role profile

• Develop an expertise in applying machine learning for outlier detection, representation learning, entity resolution, and network & graph applications.

• Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.

• Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.

• Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.

Experience

• MSc or PhD with excellent academic results in the field of Computer Science, Mathematics, Engineering, Econometrics or similar.

• Machine Learning: Classification, Regression, Clustering, Unsupervised methods, Text Mining. You have an excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics is a pre.

• Programming Languages: Python and R. Scala is a pre-requisite

• Tools: Spark, Hadoop.

• Database handling: SQL, Hive. Familiarity with Oracle, Netezza, HBase, Cassandra, Graph databases is a pre.

• Visualisation tools: D3.js, Shiny, Angular.

How to succeed

• You have (global) work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products

• Experience in applying data science to prevent and detect financial crimes (e.g.  internal/external fraud, money laundering, terrorism financing, tax evasion, …) is a strong plus

• You can explain complicated subjects clearly

• You are friendly and approachable and are able to mentor junior data scientists

• Your enthusiasm is visible and you are good with mobilizing people for our data driven purpose

• You are motivated to keep on top of the latest developments

• You have extensive knowledge of a wide range of machine learning algorithms, ranging from more classical econometric models to cutting-edge neural networks and are able to match them to business problems

• You are able to see where ING can set further steps towards becoming a truly data driven bank. You’re always thinking one step ahead, for example in advising about the best way of implementation.

• You are a team player who strikes effective balance between independence and acting in the interest of the team

Competencies 
Excellent interpersonal skills displaying cultural sensitivity in coordinating interactions with and between the different business units 
Ability to translate future vision into a set of clear deliverables and communicate across levels
Ability to engage, advise and present with stakeholders, including senior ones, in analytics related matter 
Content-wise can deal with the high degree of ambiguity that comes with the exploration request 
Can do/go-getter mentality – go out of your own responsibilities and comfort zone to achieve the team target 
Excellent knowledge of Microsoft Office Excel and PowerPoint 
Fluent in written and spoken English.

What do we offer?
A strategic, dynamic, and international setting, an innovative and fast-moving Analytics team, and great development opportunity.

• Rewards and Benefits

  We want to ensure you have the right balance between your career and personal life. You can find out more about our employment conditions at https://careers.ing.com/en/benefits-NL

  The benefits of working with us at ING include:

  • 24-27 vacation days depending on contract.

  • A competitive base salary of EUR 4.367 -7.088

  • Pension scheme.

  • 13th month salary.

  • Individual Savings Contribution (BIS), 3.5% of your gross annual salary.

  • 8% Holiday payment.

  • Hybrid working model, blending home and office collaboration.

  • Personal growth opportunities and challenging work with endless possibilities.

  • An informal working environment with innovative colleagues.
     

  About us

  With 60,000 employees and operations in approximately 40 countries, ING offers endless opportunities for those who want to make an impact. If you are driven, innovative, and eager to shape the future of learning and development in a leading glob