Data Scientist

ING

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

Arbeidsvoorwaarden: Marktconform

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Work environment:

The International Advanced Analiytics (IAA) Chapter is the global Centre of Excellence (CoE) of ING Group which enables our organization with Data Science, Machine Learning and Artificial Intelligence expertise and products at global level and across all domains and businesses.

Our team consists of 25 highly skilled, passionate and motivated data scientists and data engineers from diverse backgrounds (physics, statistics, computer science, econometry). We have strong team spirit and commitment to help each other succeed through collaboration and knowledge sharing.

Our data scientists work closely with different business units to improving and redesign our Smarter Lending, Customer Engagement and Customer Convenience capabilities as to bring ING Group to the forefront of analytic excellence.

Your responsibilities:

Work closely with international business units

The international units have different business models and levels of analytical maturity, each promising exciting challenges and opportunities. You will help them make the most of their potential by introducing them to state-of-the-art techniques and data products.

This role is based in Amsterdam and it offers opportunity to travel for about 20 to 30% of your time to European cities such as Paris, Amsterdam, Milan, Madrid, and other.

Build predictive models and data products

You will be translating business challenges into analytical problems and then strive for a data driven solution. You will have the opportunity to build a model to predict whether a credit card applicant is a fraudster, or whether customers are eligible for a loan, or even automatically classify incoming letters to the bank to the relevant departments. There is a vast amount of areas where your skills can bring a great impact.

Collaborate with engineers to bring advanced models to production.

Once a successful modelling approach has been identified, it takes extra work to package it into a product that can be deployed in production. You will collaborate with engineers to determine the right approaches, for example as concerns architecture trade-offs (e.g. batch vs real-time), model retraining schedule, feature engineering, model performance evaluation, maintenance and monitoring, robustness to adversarial examples etc.

Enable Data Science excellence

Part of our team’s mission is to help business stakeholders understand what we can do with data, as well as help develop junior data scientists through training and coaching.

Share your successes with the rest of the organisation

The work we do in one country often serves as an inspiration to others. It is core to our mission to ensure that our work, products and methods are publicised in a clear and engaging manner throughout the organization (and occasionally beyond) which other data scientists can reuse. This is done through online demos, workshops, webcasts or articles.

Required:

Master's or PhD in a quantitative field (applied mathematics, computer science, …) At least 3 years of applied data science experience in a business setting. Entrepreneurial mindset and the passion to explore and create new opportunities Very good knowledge of either Python or R Good practical knowledge of core machine learning and statistical methods such as Random Forest, Gradient Boosting, time series analysis Fluent in English.

Preferred:

Experience in one or more of the following would be great:

Credit Risk modelling. Consultancy experience with regard to analytics. Presentation and communication skills in order to present data products in an engaging way to diverse audiences. One additional language among French, Spanish, Italian and Polish.

What we offer:

  • A very stimulating intellectual environment.
  • Benefit from great travel opportunities: you will spend 20% to 30% of your time abroad in major European cities.
  • Work on exciting, impactful and highly visible projects in a global organisation where advanced analytics is a strategic priority.
  • Stay at the cutting edge: we offer a yearly training budget of 5000€ for conferences, workshops or trainings.

Vacature informatie

Organisatie: ING

Locatie: Amsterdam

Opleidingsniveau: WO

Arbeidsvoorwaarden: Marktconform

Solliciteren

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