Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on!
We create advanced analytics applications in the “Know your customer” (KYC) domain. We are tackling fundamental, high impact, problems in the financial services industry. We are passionate about protecting both our customers and our society, delivering products that make ING a safer and more compliant bank.
As we continue our growth and establishing the added value data science and machine learning will bring to this transformation journey, we seek a leader for our data science chapter. This means you have to be a hands-on coach. A Chapter lead role splits his/her time 50-50 over engineering and leading a chapter.
Your key responsibilities:
•You hierarchically oversee a chapter of 10-12 engineers. This covers the recruiting of new talents, administration, personal development, and evaluation of your Chapter members.
•You inspire and encourage your Chapter members to develop themselves, providing them coaching on both the professional as well as the personal level.
•Support & structure the growth and career trajectories of our outstanding Data & ML Engineers.
•Challenge the status-quo & accelerate our work and capabilities to transition from building models to delivering state-of-the-art data products.
•Enable our squads to make an impact and drive the growing process we undergo as an analytics group.
•Promote advanced analytics approaches in the KYC domain and drive the business transformation together with our business stakeholders and ING Analytics.
What is the role we hiring for?
•You have at least 11+ years of (global) work experience in Data, Analytics and Machine Learning (methods, technology, data)
•You have experience in architecting & building analytics solutions from prototype to deployment
•You have a proven track record of developing people and knowledge through coaching or mentoring
•You have experience in leading teams to drive results and interact with (senior level) stakeholders
•You are have good oratory and presentation skills
•You have experience in implementing analytics solutions in Agile ways of working
•You have vast experience in understanding complex AI/ML problems and ability to devise best optimal ways of implementation.
•You oversee a chapter of 10-12 engineers which includes recruiting of new talents, administration, personal development, and evaluation of your Chapter members. You inspire and encourage your Chapter members to develop themselves, providing them coaching on both the professional as well as the personal level.
Who should apply?
•Masters degree with excellent academic results in the field of Computer Science, Mathematics, Engineering or similar.
•Excellent understanding of Data Engineering, Analytics and machine learning applications & algorithms
•Experience in data manipulation and transformation using Scala/python/Spark/SQL
•Familiarity with Business Intelligence reporting & visualization tools e.g. Cognos, PowerBI
•Hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink)
•Experience in setting up both SQL as well as noSQL databases
•Experience with open source machine learning technologies and platforms (i.e. R, Python, Tensorflow). Working with NoSQL, RDBMS
•Experience in AutoML technology stack like SAS Viya, DataRobot
•Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD
Vul in waar je vergelijkbare vacatures zoekt en vergeet je e-mailadres niet!
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