Senior Data Scientist

Do you have experience in Spark?, Do you have a Master's degree?, Highly motivated to solve comple

• problems with a continuous learning mindset.
• Stay up to date with the latest developments in machine learning and apply them where they add value.
• Enjoy sharing knowledge and helping teammates grow.

Required Skills At least 6 years of e

• perience developing Machine Learning solutions, ideally in the private sector. Knowledge of lending, credit risk, and credit decision domains is a strong advantage. Broad eperience with end-to-end machine learning project implementation, including all steps from data e
• traction to modeling and deployment.
• Proven track record of leading multiple data science projects. Strong programming skills in Python and Spark. Hands-on e
• perience with MS Azure DevOps and GCP is a strong plus.
• Solid educational background in mathematics and statistics (Master's degree or preferably Ph.D.).
• Strong theoretical knowledge of statistical modeling and machine learning, with demonstrated ability to apply these to solve business problems and develop innovative models or data-driven products. Ecellent written and oral communication skills in both technical and business conte
• ts.
• Fluency in spoken and written English.

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

ING's goal is to enable people to make a difference and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and continuously evolve to become one of the most innovative companies in the banking sector. About ING Analytics The ING Analytics group is a major driving force in ING's transformation. Our mission is to help ING become a data-driven digital leader and create tangible value for ING and its customers through world-class analytics models, products, and services. Retail Banking Analytics Data Science Chapter This chapter provides machine learning epertise for developing lending, pricing, and personalization analytics. Based in Amsterdam, we are a team of 10+ highly skilled Data Scientists from diverse backgrounds such as physics, statistics, mathematics, computer science, econometrics, and astrophysics. We work in a creative and collaborative environment, sharing knowledge and supporting each other to deliver impactful projects. Our portfolio is broad and uses a wide range of algorithms and tools, all related to risk and pricing. What you'll do * Develop machine learning and advanced analytics solutions for specific business use cases. * Take a leading role in solution development and support medior and junior data scientists. * Actively engage with stakeholders. Collaborate with subject matter e * perts and machine learning engineers to bring models into production.