Senior NLP Data Scientist – Customer Dialog Analytics tribe @ING Hubs Romania

Discover ING Hubs Romania

We started out in 2015 as ING’s software development hub – a distinct entity from ING Bank Romania – then steadily expanded our range to include more services and competencies.

Formerly known as ING Tech, as of 2022 we provide borderless services with bank-wide capabilities under the name of ING Hubs Romania and operate from two locations: Bucharest and Cluj-Napoca.

With the help of over 1600 engineers, risk, and operations professionals, we offer 130 services in tech, non-financial risk & compliance, audit and retail operations to 24 ING units worldwide.

Our tech capabilities remain the core of our business, with more than 1300 colleagues active in Data Management, TouchPoint Channels & Integration, Core Banking, and Global Products.

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged. Work ethics, honesty and knowledge sharing are key to our teams and we’re always looking for like-minded people.

Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:

At ING, coming up with ideas is a team effort | 85% of our colleagues in Romania agree

The Mission

The Customer Dialogue Analytics is part of the COO Analytics tribe of the global ING Analytics Unit based in Amsterdam that has the mission to make ING leading in human computer interaction. We do this by combining multiple technologies to deliver high value solutions and products for our organization.

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 such as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.

Your day to day

Even if you’ll start your day from the comfort of your home or drink your morning coffee in our office’s garden, your day will be quite similar when comes to tasks. Here are your daily responsibilities:

• 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 conversational 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 conversational systems 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

What you’ll bring to the team

Experience: A minimum of 3 years experience in building Natural Language Processing or Information Retrieval pipelines and models

Tech stack/ knowledge:

Mandatory:

• ​Python –strong programming skills, experience in delivering production grade code, and reasonable SQL understanding
• Machine Learning: in-depth understanding of algorithms like Conditional Random Fields, Transformers, Recurrent Neural Networks, and Convolutional Neural Network,
• 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 a Pro-active and can-do attitude (self-steering)
• You are a naturally collaborative person who listens and invests in others to achieve common goals
• 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 take pride in your code and take responsibility for keeping it running in production
• Familiarity with Agile Scrum way of working
  • Nice to have:
• Experience with Google Cloud Platform
• Experience with operationalization of LLMs
• Experience with applying NLP on banking and/or contact center domains
• Knowledge of DevOps practices including Git and CI/CD
• Experience with CI/CD for Machine Learning pipeline (CD4ML).

Foreign languages: English (advanced), other languages are plus: Dutch, Spanish, French, or Italian.

Education: MSc or PhD in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.

What’s in it for you

• Annual Performance Bonus up to two salaries
• Extra vacation days depending on the total length of working experience
• Flextime – our own way of working
• Monthly budget on Benefit platform
• Growth opportunities
  • Defining a clear career path on short/ mid/ long term and identify the competencies you need to build/ develop to reach the next level: vertically – towards a managerial position or horizontally – towards an expert or architect level, locally or globally
  • Internal mobility is encouraged
  • Possibility to access International Short-Term Assignments or Long-Term Assignments
  • Upskilling/ reskilling programs
• Learning & Development opportunities
  • Annual training & certifications budget
  • Pluralsight & e-learning platforms
• CSR activities: tree planting, coding lessons for teenagers etc.