Trainee Data Scientist

As a Data Scientist trainee, you will learn how to translate business challenges into predictive models and AI/(Gen)AI solutions that enable better and more proactive decision-making and can automate parts of banking processes. You will become well-equipped to store, clean and explore large datasets, identify valuable insights, and build and operationalize models while running data science projects from end to end. You’ll join a community of motivated data professionals where learning, growing and making impact go hand in hand. With this traineeship you will take the first step in your career as a data scientist to develop yourself personally and professionally.

Your Job

• Translate business challenges into data questions and turn functional and technical requirements into tangible analytics and AI solutions.
• Research, develop and improve statistical, machine learning and (Gen)AI models—and know when a simpler approach is the best approach.
• Conduct data experiments across varied datasets (e.g., products, transactions, channels, customers) and validate outcomes with the right evaluation methods.
• Collaborate closely with Data Scientists, Machine Learning Engineers, DevOps and product stakeholders to design, build and deliver solutions that can be adopted in the business.
• Build and improve processes and tooling to monitor model performance, data quality and accuracy, enabling reliable decisioning at scale.
• Help build and maintain end-to-end ML pipelines (feature engineering, training, evaluation, deployment, monitoring), focusing on reproducibility, scalability and MLOps best practices.
• Practice the art of storytelling through numbers: visualize insights effectively and communicate results and statistical concepts clearly to business stakeholders and end-users.
• Contribute to continuous improvement by automating existing deliverables and proposing ideas that improve technical, data or business outcomes.

Where will you start in the organisation?

For this role, you will start in one of the departments within our organization. You will do different assignments within your team and get a position as Data Scientist after the programme. Wherever you end up, a lot has to be done. By joining our ABN AMRO Data Traineeship, you’ll be taking the first step in your personal and professional development towards becoming a data expert.

About the Traineeship

The traineeship lasts 18 months and is specially designed to give you a kick start.

What you can expect:

• Focus on your personal and professional development
• Inspiring masterclasses on current and innovative themes within the bank
• An intensive Data Bootcamp to strengthen your Data & AI skills
• Two rotations to other departments to take a broader view and learn more

You are never alone: you will receive guidance from a manager, buddy and coach who will actively help you with your development. After completing the traineeship, you will start in the position you applied for.

Your profile

You should have a degree in mathematics, statistics, physics, econometrics or business, with an analytics focus. You must have strong skills in math, science, programming, databases, modelling, and predictive analytics. You also recognize yourself in the following points:

• Entrepreneurial spirit, creative mind-set and capable of assessing and evaluating risks
• Knowledge of or at least interest in technology and how this supports business improvements
• Thrives in an international context
• Thinks in terms of what’s possible, sees opportunities and takes a solutions-oriented approach
• Self-starter who readily assumes responsibility
• You have a valid EU work permit

Of course, you do not have to have every skill from the described profile right away. It is precisely the potential to develop skills that makes your talent visible during the program.

What’s your experience?

• Experience working with Jave, SQL, R or Python
• Experience in statistical, data mining and machine learning techniques (like boosting, generalized linear models/regression, and social network analysis)
• Experience visualizing and presenting data
• Strong written and verbal communication skills
• A proactive approach, with an ability to manage multiple priorities simultaneously
• A basic understanding of data mining techniques, emerging technologies (MapReduce, Spark, large-scale data frameworks, machine learning, neural networks)
• No more than 2 years of work experience (internships do not count as work experience), this is a graduate programme

Nice to have

• Experience with cloud services, preferably Azure Cloud Services
• Experience analysing data from third-party providers like Adobe Analytics, Google Analytics etc.
• Experience working with distributed data and computing tools like Hadoop, Hive, Map/Reduce, MySQL, and Spark
• Familiarity with the Agile methodology

What we offer

A place in a dynamic department where you are given the space to get the best out of yourself, to work flexibly and to grow, both personally and professionally. For example, with your annual development budget of €1,000 and our vitality program.

Furthermore:

• An additional benefit budget of 11%, with which you can buy flexible employment conditions
• A public transport annual subscription and a good pension scheme