Data scientist Business Banking NL
ING Nederland · Amsterdam, North Holland, Netherlands
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- On site
- Full-time
- €75,000 / year
- Amsterdam, North Holland, Netherlands
Job highlights
- Shape customer behavior understanding for Business Banking.
- Develop advanced analytics and predictive models.
- Build analytical solutions from the ground up.
- Collaborate with subject matter experts for production.
- Drive data-informed commercial decisions impacting business.
About the role
Data Scientist Business Banking
Would you like to shape how ING Business Banking understands and influences customer behaviour across the end‑to‑end customer journey? Are you energized by complex data, advanced analytics, and turning insights into real business impact? Then this role is for you!
About CoE Pricing Business Banking
The Center of Expertise Pricing Business Banking is part of Business Development, a central BBNL department working for all business banking products and segments. With the strategic product-price positioning, we impact the results of the Domestic Bank Business Banking Netherlands, and customer behaviour, credit and market risk, and perception of our customers and society. As CoE Pricing we have a holistic view on Business Banking products and segments covering savings, payments and lending for small to midsized corporates.
Customer Behavioural Modelling and Insights Chapter
You will be part of the Customer behavioural modelling and Insights Chapter. This is a newly established squad designed to understand our customers’ behaviour. The focus areas are on behaviour modelling, customer segmentation and price elasticity. You will have the opportunity to build analytical solutions from the ground up, shape frameworks and best practices from the ground up.
Role And Responsibilities
- Develop advanced analytics solutions and models to drive data-informed commercial decisions across Business Banking.
- Collaborate with subject matter experts to bring models into production.
- Take a leading role in solution development to support business in understanding customer behaviour through data.
- Actively engage with stakeholders.
How To Succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
To Fulfill This Role Successfully, You Need To Be:
- Proactive and result driven.
- Highly motivated to solve complex problems with a continuous learning mindset.
- Comfortable in dynamic multi-matrix environments.
- Enjoy sharing knowledge and helping teammates grow.
Also You Bring
- At least 5 years of experience developing advanced analytics solutions, ideally in the financial sector.
- Demonstrated ability to solve business problems and develop innovative models or data-driven products.
- Proven track record of hands-on experience in multiple data science projects.
- Broad experience with end-to-end project implementation, including all steps from data extraction to modelling and deployment.
- Affinity with panel data / time series models, linear and non-linear regressions, time series analysis, clustering, and hypothesis testing.
- Strong programming skills in SQL, Python and Spark.
- Hands-on experience with SAS, MS Azure DevOps and GCP is a strong plus.
- Knowledge of pricing domain is a strong advantage.
- Solid educational background in mathematics, statistics or econometrics (Master’s or PhD degree level preferred).
- Excellent written and oral communication skills in both technical and business contexts.
- Fluency in spoken and written English. Dutch is a plus.
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.
- 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
Also, We Offer You
- A dynamic environment at the strategic core of ING Business Banking where you can make an impact for business customers and ING.
- A knowledgeable, ambitious, and supportive team with strong ownership.
- Unique opportunity to come into contact with many stakeholders within ING.
- Hybrid working, with space for real connection through team lunches, drinks, and events.
About Us
Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you.
Key skills/competency
- Data Science
- Advanced Analytics
- Customer Behavior Modeling
- Machine Learning
- Python
- SQL
- Spark
- Statistics
- Econometrics
- Financial Sector
Skills & topics
- Data Scientist
- Business Banking
- Advanced Analytics
- Customer Behavior
- Machine Learning
- Python
- SQL
- Spark
- Financial Services
- ING Nederland
How to get hired
- Tailor your resume: Highlight your 5+ years in advanced analytics, financial sector experience, and end-to-end project implementation.
- Showcase problem-solving: Emphasize your ability to solve business problems with innovative data-driven products and models.
- Demonstrate technical skills: Detail your proficiency in SQL, Python, Spark, and experience with time series, regressions, and clustering.
- Prepare for interviews: Be ready to discuss your experience with stakeholders and your continuous learning mindset.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Scientist at ING Business Banking?
- As a Data Scientist at ING Business Banking, you will develop advanced analytics solutions and models to drive data-informed commercial decisions. You'll collaborate with subject matter experts to bring models into production, take a leading role in solution development for understanding customer behavior, and actively engage with stakeholders.
- What technical skills are required for the Data Scientist role at ING Nederland?
- The role requires strong programming skills in SQL, Python, and Spark. You should also have affinity with panel data/time series models, linear and non-linear regressions, time series analysis, clustering, and hypothesis testing. Experience with SAS, MS Azure DevOps, and GCP is a plus, as is knowledge of the pricing domain.
- What educational background is preferred for this Data Scientist position?
- A solid educational background in mathematics, statistics, or econometrics is preferred, ideally at the Master's or PhD degree level. This ensures a strong foundation for developing advanced analytical solutions.
- How important is prior experience in the financial sector for this role?
- While not strictly mandatory, at least 5 years of experience developing advanced analytics solutions, ideally in the financial sector, is highly valued. This experience demonstrates an understanding of the industry's unique challenges and data landscape.
- What does ING Business Banking expect from candidates in terms of mindset?
- ING Business Banking looks for smart individuals with potential who are curious, driven to learn, and willing to take on responsibility. A proactive, result-driven approach and a desire to solve complex problems with a continuous learning mindset are highly valued.
- Is this Data Scientist role remote, hybrid, or on-site at ING Nederland?
- This role offers a hybrid working arrangement, allowing for a balance between remote work and in-office collaboration. This model supports personal growth and connection with colleagues through team events.
- What are the benefits of working as a Data Scientist at ING Business Banking?
- Benefits include 25-28 vacation days, a pension scheme, 13th-month salary, 8% holiday pay, hybrid working, opportunities for personal growth, and an informal, innovative work environment within a strategic core of ING Business Banking.