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Agentic AI Data Scientist – KYC & Wholesale Banking

Reads like an AI Engineer role: building products on existing AI models.

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build multi-agent systems that automate KYC workflows and decision support

  • Develop document understanding and information extraction solutions

  • Build entity resolution and corporate ownership discovery capabilities

  • Develop network and graph-based analytics for risk and compliance investigations

  • Apply machine learning to complex banking datasets

From the employer’s posting
Multi-agent systems built using modern orchestration frameworks such as LangGraph, CrewAI, AutoGen, Google ADK, or similar technologies.
Document understanding and information extraction solutions.
Entity resolution and corporate ownership discovery capabilities.
Network and graph-based analytics supporting risk and compliance investigations.
Machine learning solutions applied to complex banking datasets.

What you’ll bring

All qualifications

Core experience

  • 3+ years of experience in Data Science, Machine Learning, AI, or a related field.
  • Experience working with Agentic AI and LLM-based solutions.
  • Hands-on experience with at least one agent orchestration framework such as LangGraph, CrewAI, AutoGen, Google ADK, OpenAI Agents SDK, or similar technologies.
  • Solid understanding of machine learning techniques, from classical models to modern neural networks.
  • Experience applying Data Science methods to real business problems.
  • Strong communication and stakeholder engagement skills.
Qualification wording
3+ years of experience in Data Science, Machine Learning, AI, or a related field.
Experience working with Agentic AI and LLM-based solutions.
Hands-on experience with at least one agent orchestration framework such as LangGraph, CrewAI, AutoGen, Google ADK, OpenAI Agents SDK, or similar technologies.
Solid understanding of machine learning techniques, from classical models to modern neural networks.
Experience applying Data Science methods to real business problems.
Strong communication and stakeholder engagement skills.
Education & alternatives
- Hands-on experience with at least one agent orchestration framework such as LangGraph, CrewAI, AutoGen, Google ADK, OpenAI Agents SDK, or similar technologies. - A degree in Mathematics, Physics, Computer Science, Engineering, Econometrics, or a related field (MSc or PhD is a plus). - Strong Python skills.

About ING Group

With 65,000 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.

In the employer’s words · Read in context

Apply at ING Group

Posting record

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Live
First seen by us
Oct 27, 202617 days ago
Recorded sightings
26
Last seen by us
Nov 13, 2026

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How this job compares

Time since we first saw it

Day 17

Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

ING Group is hiring

47 open jobs

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  • 2% of open jobs were reposted
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  • Python
Where the posting names them
- A degree in Mathematics, Physics, Computer Science, Engineering, Econometrics, or a related field (MSc or PhD is a plus). - Strong Python skills. - Solid understanding of machine learning techniques, from classical models to modern neural networks.

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
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About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Build the Next Generation of AI Agents for Wholesale Banking

At ING Wholesale Banking, we're applying Agentic AI to one of the most complex challenges in financial services: KYC (Know Your Customer).

As part of ING Analytics Wholesale Banking, you'll build intelligent systems that extract information, assess completeness, resolve entities, and support risk-based decision-making while meeting the governance and compliance standards required in global banking.

The Challenge

This role combines Agentic AI, machine learning, entity resolution, and graph analytics to solve complex KYC challenges for ING's corporate and institutional banking clients.

You'll work within a cross-functional squad to design, develop, validate, and deploy scalable AI solutions that support KYC processes across ING's international operations. Unlike many AI roles focused on generic automation, you'll work on high-impact problems where accuracy, auditability, and trust are critical.

Work Model

At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work.

Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.

We also offer additional flexibility during August, allowing colleagues to work remotely throughout the month.

As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to large-scale AI initiatives that create impact across the bank.

What You'll Build

You will contribute to:

  • Agentic AI solutions that automate KYC workflows and decision-support processes.
  • Multi-agent systems built using modern orchestration frameworks such as LangGraph, CrewAI, AutoGen, Google ADK, or similar technologies.
  • Document understanding and information extraction solutions.
  • Entity resolution and corporate ownership discovery capabilities.
  • Network and graph-based analytics supporting risk and compliance investigations.
  • Machine learning solutions applied to complex banking datasets.
  • AI systems developed in line with ING's model governance and compliance standards. 

About You

We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.

You likely bring:

  • 3+ years of experience in Data Science, Machine Learning, AI, or a related field.
  • Experience working with Agentic AI and LLM-based solutions.
  • Hands-on experience with at least one agent orchestration framework such as LangGraph, CrewAI, AutoGen, Google ADK, OpenAI Agents SDK, or similar technologies.
  • A degree in Mathematics, Physics, Computer Science, Engineering, Econometrics, or a related field (MSc or PhD is a plus).
  • Strong Python skills.
  • Solid understanding of machine learning techniques, from classical models to modern neural networks.
  • Experience applying Data Science methods to real business problems.
  • Interest in information extraction, entity resolution, graph analytics, and network analysis.
  • Strong communication and stakeholder engagement skills.

Experience in Wholesale Banking, KYC, AML, financial crime, model governance, or regulated industries will be considered an advantage.

Where This Role Can Take You

This role offers an opportunity to deepen expertise in:

  • Agentic AI engineering
  • Multi-agent system design
  • Entity resolution and graph intelligence
  • KYC automation
  • Wholesale Banking analytics
  • Responsible and governed AI

You'll work on one of ING's most strategic AI capabilities while contributing to solutions used across multiple countries and business domains.

Equal Opportunity

Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.

What We Offer at ING Hubs Türkiye

At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.

Be Yourself, Be an ING'er

  • Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
  • Career Opportunities: Self-driven career paths and international opportunities
  • Personal Growth: Challenging work and continuous development
  • Dynamic Environment: Informal, vibrant, and collaborative culture
  • Innovation Culture: Explore and apply PACE methodology
  • Global Exposure: Participate in international projects and communities
  • Communication & Celebrations: Various communication activities and celebrations
  • Health Care: Comprehensive private health insurance for you and your family
  • Private Pension Plan
  • Meal Card
  • Transportation Allowance
  • MultiSport Membership
  • English Language Development Support
  • Remote working opportunities throughout August

How to Apply

Click the application button on our careers page and submit your application through Workday.

About ING

With 65,000 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.

About ING Hubs

Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.

Discover ING Hubs Türkiye

ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.

We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.

Let's meet!

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Location & working pattern

Istanbul, Turkiye

At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work. Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote. We also offer additional flexibility during August, allowing colleagues to work remotely throughout the month.
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- English Language Development Support - Remote working opportunities throughout August How to Apply
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