Data Scientist

4 weken geleden

Amsterdam, Nederland ING Voltijd

Do you want to challenge your analytical skills, take your social and influencing skills to the next level, and learn how we, Real Estate Finance, as market leader are working?

This is an opportunity for you to consider.

**Your role**

As a Data Scientist it is about making every day processes as smooth and easy as possible for both our customers and employees.

You work in an AGILE working environment which is driven by **autonomy** and **alignment**.

This way of working you will benefit from:

- empowerment and accountability on your delivery
- added value to our customers as you will deliver faster and in a more effective way
- transparency & dynamic setting for you to deliver within your squad
- a lot of development opportunities, knowledge sharing with other experts

**Your work environment**

Real Estate Finance NL (REF NL) services their real estate investment customers directly in four regions: North West, North East, South West and South East, e.g. in Amsterdam, Arnhem, Eindhoven and Rotterdam. The regional offices are supported by REF NL’s operations team. Latter team is centrally organized in Amsterdam and is structured in squads. REF NL is considered to be the principal Dutch real estate lender, and our real estate knowledge is appreciated throughout the real estate investor market. You will be part of a small Chapter and work together with other squads in and outside of REF NL to create an unbeatable customer and employee experience.

**The Purpose of REF NL is**:

- Changing real estate_

Our mission is to accelerate the transition to a sustainably built environment. We want to speed up the sustainability transition and at the same time stay appreciated within the real estate investment market and be the best digitalized real estate finance bank. To achieve this, we need to re-invent ourselves over and over again and use data to add value for our customers.

**Your responsibilities**:

- Build and maintain automated credit decisioning models in production, including implementing changes in the model scripts with updated business rules, fixing bugs in case of issues, etc.
- Design, analyze and interpret business hypothesis and explore datasets
- Further professionalize the Data Governance in the broadest sense
- Knowledge of analyzing large data sets and their quality (knowledge of statistics and machine learning techniques is a plus)
- Support and design data model and data definition
- Develop a data quality program to improve data quality
- Data analysis and data processing
- Validate business ideas regarding visualizations / predictive algorithms
- Assist users to understand the data science principles and when needed provide possible correcting actions.

**How to succeed**

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious, keep learning and take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. As a Data Scientist, you recognize yourself in the following:

- You have a Master’s degree or an equivalent work level (Econometrics, Computer Science, Physics, Artificial Intelligence or an equivalent).
- You have a learning attitude. You realize that the value of your work is quality x acceptance and want to become better at both. You are able to give, ask and incorporate feedback.
- You feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed.
- You have exceptional problem-solving capabilities. You understand that understanding the problem is at least 90% of the solution. You have displayed creativity and tenacity in cracking the problem and finding a solution to it.
- You are familiar with coding in Python, SQL, Java, Bash, Git
- Experience with popular frameworks such as NumPy, Scikit-learn, TensorFlow, Pytorch, and Pyspark.
- Familiarity with LLM, ChatGPT API, Gemini, and deep learning algorithms is a pre.
- You have excellent oral and written communication skills at technical and business level.
- You are fluent in English, Dutch is a pre.

**Rewards & benefits**

We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions here.

The benefits of working with us at ING include:

- A salary tailored to your qualities and experience
- 36 or 40 hour workweek
- Individual leave: 24+2 individual holiday days based on 36 hr workweek
- Diversity leave: 3 days per year (1,5 paid, 1,5 unpaid)
- CSR days: up to 2 days per year to actively engage in society by volunteering
- 13th month salary
- 8% Holiday payment
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary
- Mobility card
- Attractive pension scheme
- Hybrid working to blend home working for focus and office working for collaboration and co-creation

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