Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make a difference by using the latest Analytics techniques to generate data-driven approaches and conversational products and solve real business challenges, please read on.

ING Analytics

ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.

COO Analytics- Customer Dialogue Analytics

You will be part of the COO Analytics Tribe, which delivers generative AI , AI and advanced analytics capabilities to all ING countries.

Specifically, you will help creating innovative-scalable-data driven solutions in the space of Customer Due Deligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders, including global and local KYC (Know Your Customer).

Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions, to strengthen ING leadership in digitalization & support our 40 million customers.

We work in a fun and creative environment, and we’re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.

The opportunity

As a NLP/LLM Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING’s KYC agents’ efficiencies globally.

A day in the life of an NLP Data Scientist

After your morning coffee, you stand up with data engineers to understand the best scalable way to get models to run in production, leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues, you think of a new technology you’d like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon, you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics, you’ll never get bored with many experienced and skilled colleagues around you, the freedom to innovate, and to not only use open source and cloud managed service tooling, but also contribute and teach about them.

You Will Be Responsible For

• Design and implementation of solutions using Generative AI and LLM technologies
• Developing production level NLP models
• Working with ML Engineers to productionize your developed NLP models
• Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
• Following best practices in developing ML code and ML software tests
• Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
• Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
• Contributing to strengthening the data analytics capability within the team.

About you

• Always thinking a step ahead and never satisfied with the status quo
• Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
• You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
• You 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 have a Pro-active and can-do attitude (self-steering)
• You take pride in your code and take responsibility for keeping it running in production
• You combine both thinking of the future and a hands-on, right now attitude
• You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.

How to succeed

• Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
• A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
• Experience with operationalisation of LLMs or Generative AI applications
• You have an in-depth understanding of algorithms like Transformers, Recurrent Neural Networks, and Convolutional Neural Network
• Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
• Can build an “end-to-end ML software product” which has NLP/IR component
• Experience with Deep Learning frameworks like Tensorflow and PyTorch
• You have excellent oral and written communication skills at the technical and business level
• Fluent in written and spoken English.
• Familiarity with Agile Scrum way of working

Nice To Have

• Experience with Google Cloud Platform
• Experience with applying NLP on banking and/or KYC domains
• Knowledge of DevOps practices including Git and CI/CD
• Experience with CI/CD for Machine Learning pipeline (CD4ML).

Rewards & 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

  About us

  With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.