Senior Data Scientist at Ing Firm

, , Netherlands -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Python, Spark, MS Azure DevOps, GCP, Statistical Modeling, Communication, Problem Solving, Collaboration, Credit Risk, Data Extraction, Modeling, Deployment, Stakeholder Engagement, Continuous Learning

Industry

Banking

Description

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 expertise 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 experts and machine learning engineers to bring models into production. Who you are Highly motivated to solve complex 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 experience developing Machine Learning solutions, ideally in the private sector. Knowledge of lending, credit risk, and credit decision domains is a strong advantage. Broad experience with end-to-end machine learning project implementation, including all steps from data extraction to modeling and deployment. Proven track record of leading multiple data science projects. Strong programming skills in Python and Spark. Hands-on experience 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. Excellent written and oral communication skills in both technical and business contexts. Fluency in spoken and written English. 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? Discover what we do and what we can offer you. Questions? Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button. We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow. Your future at ING starts with one application. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations! Use the filters below the search bar – like location and job type – to help you find the perfect fit. Start exploring now and discover where your next career move could take you!

Responsibilities

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.