With your home base in Amsterdam, you will be a mentor for the data scientists in your “chapter” and will have up to 8 data scientists reporting to you directly. You will lead them by example. To be able to do this, you need to be a senior and strong data scientist yourself. You will work yourself as a data scientist in a long-term project. You are responsible for assuring the delivery of high-quality analysis results in all our projects. You ensure that the team provides insights and perspectives to decision-makers to facilitate decision-making in a way that meets internal and external requirements.
Besides that, very importantly, you develop the craftmanship and capability of the individual data scientists in the team, and the team as a whole. You provide quality assurance of analysis results, analysis documentation, analysis code that may run in production. You serve as a liaison to business departments and the risk/audit department. Most importantly, you have to be a mentor for the data scientists. You are expected to be able to mentor even our most senior data scientists on technical topics.
The team
ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector. The ING Analytics group is a major driving force in ING’s transformation, aimed at helping us to become a data-driven organization, where advanced analytics is at the heart of our business processes.
Roles and responsibilities
The Data Scientist in your team, including yourself, are responsible for scoping, developing, validating, and documenting machine learning-based solutions which form the core of products which INGA-WB develops for ING. This also includes carrying out world-class Research and Development where appropriate to arrive at a solution.
Besides being a team lead, as a data science lead your main focus will be on:
Oversee the direction setting and vision of multiple Data Science projects.
Mentor, grow, and evaluate a team of junior and senior Data Scientists
Be responsible for Quality Assurance of all DS models, helping ensure they pass our stringent internal Model Validation checks prior to going into production.
Lead the upskilling and knowledge sharing of all team members to ensure we remain at the forefront of DS techniques.
Develop an expertise in applying machine learning, NLP, LLM techniques for: automated data extraction from documents, outlier and fraud detection, representation learning, entity resolution, time-series analysis, and network & graph applications.
Experience in using PySpark for large, distributed data transformations and preparation is strongly preferred.
Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.
Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.
Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.
You are able to pro-actively and constructively find compromises and solutions where conflicts and or the need for tradeoffs arise.
How to succeed
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.
8+ years of experience in data science, with some data engineering and/or other technology related capabilities.
Publications in top-tier Machine Learning conferences or journals is strongly preferred.
Proven experience in managing, mentoring, steering a group of multiple data scientists in a data science project over a longer period of time & have a clear vision on how to do so.
Strong data science background in Computer Science, Statistics, Engineering, Physics or similar technical field (math or engineering)
You are strong in AI, machine learning, and statistics techniques and have affinity to stay up-to-date with latest developments in those areas.
Affinity of working with financial data.
Experience with a corporate environment and/or the financial industry.
Because of the big diversity in the team, you will need strong soft- and communication skills.
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.
The benefits of working with us at ING include:
25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues
About us
Curious about how ING empowers people and businesses to move forward?
Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.