Purpose of the Job

The Tribe Corporate Customer Data Management (CCDM) is at the forefront of understanding and optimizing customer data-related journeys for Wholesale Banking (WB). By analysing customer data, we uncover insights that help us enhance every touchpoint along the customer journey and improve and enrich our customer data along the way. Our team is passionate about customer data and driven to create meaningful improvements that impact every customer journey across Wholesale Banking.

Our tribes purpose is to transform WB from a product to a customer-centric digital organization, with one core customer view (organization, hierarchy, agreement references, associated individuals, and mandates), and consequently maximize the possibilities of self-servicing in processes for corporate customers.

As a Senior Data Scientist, you will play a key role in developing and deploying advanced AI models, particularly leveraging Large Language Models (LLMs), to improve data quality, automate entity resolution, and extract structured information from unstructured sources like PDFs.

Role and Responsibilities

Your responsibilities:

• Design and develop LLM-based solutions (hugging face, sentence transformers, local stored model) for entity matching and information extraction from documents (e.g., contracts, KYC files, mandates).

• Build and maintain scalable pipelines for deploying LLMs in production, including prompt engineering, fine-tuning, and evaluation.

• Collaborate with data engineers and business stakeholders to integrate model outputs into customer data journeys.

• Contribute to the development of Entity Matching as a Service (EmaaS) and other reusable AI components.

• Support the squad in improving data quality and completeness across INGs Wholesale Banking domains.

Your Experience

• What you should already be comfortable with

• Solid experience working in data science or applied machine learning, with exposure to NLP and Large Language Models.

• Good Python skills and hands-on experience with common data and ML libraries such as scikit-learn, Pandas, and PySpark.

• Experience working with databases and embedding techniques (e.g. vector representations, similarity search).

• What you can grow into while in the role

• Working with SQL and data wrangling in larger or more complex data environments.

• Experience with orchestration and experiment-tracking tools such as Airflow, MLflow, or Prefect.

Your Profile

• Core strengths we are looking for:

• Strong foundational understanding of NLP concepts, such as text classification, named entity recognition, and semantic search.

• Nice to have or develop over time:

• Experience with prompt engineering and fine-tuning Large Language Models (e.g. GPT, LLaMA, PaLM).

• Ability to explain model outcomes and insights in a clear, practical way to non-technical stakeholders.

• How you work:

• Proactive mindset and curiosity for innovation and automation.

• Strong communication skills and ability to collaborate across teams.

• Comfortable working in English, both spoken and written.

You'll get extra points for:

• Experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Functions).

• Familiarity with Agile methodologies (Kanban/SCRUM).

• Knowledge of Polars for high-performance data processing.

• Experience with document parsing tools (e.g., PDFMiner, PyMuPDF, OCR frameworks).

Information about the squad

Youll be joining a dynamic and forward-thinking team within the Corporate Customer Data Management department. Our mission is to improve the quality and completeness of INGs customer data by leveraging cutting-edge AI technologies. Youll work closely with data engineers, product owners, and business experts to deliver impactful solutions that enhance customer journeys and regulatory compliance.

Wage (gross)
From 3443 EUR/month

*By legal requirement we are providing the information about the basic wage component (minimum salary) for the advertised position. Based on your experience/profile, the final financial conditions will be the subject to discuss and negotiate at the personal interview, however, not less than above mentioned minimum salary component.

We offer you a bunch of great benefits

Friendly working environment

• You build your own working day - flexible working hours and work from home

• Daily working time: 7hrs 45min instead of standard 8hrs

• Daily refreshments - coffee, fruits, drinks

• Fully equipped gym accessible 24 hours / 7 days per week

• Game room with unlimited access

• Modern designed coffee corner and terrace with the grill spot

WellbeING

• Sick leave compensation: up to 80% of the monthly salary

• Life insurance contribution: up to 22,14 EUR/per month

• 3rd pillar contribution: up to 3% from your monthly salary

• 24/7 external mental health support

• Learning opportunities: internal and external learning programs

• Regular teambuildings, social events and communities

YOU/family/friends time

• Extra 3 PERSONAL days per year

• Extra vacation days: up to 10 extra days/per year

• We welcome your ING-positive friends: referrals starting from 1000 EUR

• 150 for childbirth/adoption bonus, wedding day and registered partnership contributions, work anniversary award

• Our premises are open 24/7 and you can even bring your friends or family along (up to 2 friends to the gym and game room)

Extra perks

• Yearly bonus based on your performance and companys results

• Cafeteria points: 50/month (600/year) - Multisport card, Alza, Zalando, Cinema City, etc.

• Home office contribution: 20 EUR/per month

• Discounts from our and your favorite stores: up to 30%

• Warm welcome package for your fresh start

• Pet friendly office