Discover ING Hubs Romania

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 1700 high-performing engineers, risk, and operations professionals.

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.

Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.

Our tech capabilities remain the core of our business, with more than 1500 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.

For us, impact isn't a perk. It's the driver of our work.

We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?

The mission

Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank. By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a data-driven leader. Among others, INGA delivers call & speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.

We are looking for a Data Scientist NLP to join us in Bucharest. In this role, you will be responsible for scoping, developing, validating, and documenting solutions using Generative AI and LLM which are at the core of the products that INGA develops. You will collaborate closely with other scientists and analysts in evaluating model performance to ensure the best possible performance. 

We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills. We hire people based on an evaluation of their potential and support them throughout their time in Bucharest. Come join us!

Your day to day

A typical day for a data scientist NLP starts with coffee, catching up with colleagues, and drafting a plan for the coming day. After the standup, you will start designing and implementing solutions using generative AI and LLM technologies, analyzing and interpreting business hypotheses, and exploring datasets. Based on the data, you will recommend new ideas to business stakeholders and collaborate with other team members to bring advanced models to production.

After lunch, you organized a knowledge-sharing session to help model users understand the data science principles and explain the model behavior and possible corrective actions.

What you’ll bring to the team

Minimum qualifications

Bachelor's degree in computer science, math, engineering, or econometrics. Experience in building NLP or Information Retrieval pipelines and models.

In-depth understanding of ML algorithms, e.g., conditional random fields, transformers, and convolutional neural network.

Strong programming skills in Python, and experience in delivering production-grade code.

Experience with Deep Learning frameworks, e.g., Tensorflow and PyTorch.

Excellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.

Preferred Qualifications

Experience with CI/CD for Machine Learning pipeline.

Experience with operationalization of LLMs.

Proactive and can-do attitude (self-steering).

Collaborative and passionate about helping others to grow and improve.

Able to embrace challenges in a fast-changing and complex environment.

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab).