Senior Data Scientist - AI Strategy Team
at ABN AMRO
EUR 72,800-104,000 per year
🕙 36-40 hours per week
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
Agile
Azure @ 6
Communication @ 6
Data Science @ 7
Databricks @ 6
DevOps @ 4
GenAI
Generative AI
Machine Learning @ 6
Python @ 6
SQL @ 6
Spark @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Are you ready to use your Data Science skills to make a real impact in the Finance & Risk Data Domain? This role focuses on developing scalable AI solutions and shaping how the organization works with data and artificial intelligence.
Responsibilities
- Identify opportunities, experiment iteratively, involve stakeholders from the start, and turn promising ideas into valuable, scalable AI and generative AI products.
- Develop and support AI applications, including data quality optimization models, automated reporting, and solutions that signal clients in distress.
- Translate complex business challenges into workable AI models.
- Explain complex technical topics clearly and effectively to stakeholders and senior management.
- Work within Scrum and DevOps teams and collaborate with multidisciplinary teams.
- Contribute to improving risk data, data systems, and data processes within the Finance & Risk Data Domain.
Requirements
- At least 7 years of experience in Data Science and/or AI Engineering.
- At least 5 years of hands-on experience with Python, Spark, SQL, Databricks, Azure, basic machine learning models, pipeline structuring, and optimization techniques.
- Experience translating business challenges into AI models.
- Excellent English communication skills and confidence collaborating with senior management and stakeholders.
- Experience working in Scrum and DevOps teams.
- A curious, pragmatic, structured, and ownership-oriented approach.
- A learning mindset and broad interest in data science topics.
Working Environment
The Finance & Risk Data Domain is part of Finance & Risk Business Grids and consists of more than 200 international professionals. The domain works to improve risk data, data systems, and data processes using an Agile operating model.
You will join the AI Strategy Team within the Centre of Expertise Advanced Analytics & Artificial Intelligence department and report to the Business Lead CoE AA & AI.
Benefits
- Gross monthly salary of €6,066–€8,666 based on a 36-hour work week, including holiday allowance and a flexible benefit budget.
- Excellent pension scheme.
- Flexible working, with the possibility to work from home in consultation with the team and depending on the role.
- Ergonomic home office setup.
- Five weeks of vacation per year, plus two mandatory days off, with the option to purchase up to four additional weeks annually.
- Five additional days off for personal development or volunteer work.
- Development budget of €1,000 per year, which can accumulate up to €3,000.
- Annual public transport pass providing free public transportation throughout the Netherlands for business and private use.
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