Senior Data Scientist - AI Strategy Team
🕙 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 @ 4
Communication @ 6
Data Science @ 7
Databricks @ 4
DevOps @ 4
GenAI
Machine Learning @ 4
Python @ 4
SQL @ 4
Spark @ 4
- 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 Python, GenAI, Spark, Databricks, machine learning, and Azure, helping shape how the organisation develops and uses AI solutions.
Responsibilities
- Build smart AI solutions and help shape how the organisation works with AI.
- Identify opportunities, experiment iteratively, involve stakeholders from the start, and turn promising ideas into valuable, scalable GenAI products.
- Contribute to AI applications including data quality optimisation models, automated reporting, and signalling clients in distress.
- Translate complex business challenges into workable AI models.
- Explain complex topics clearly and effectively to senior management and stakeholders.
- Work within Scrum and DevOps teams and collaborate with multidisciplinary teams.
Working Environment
The Finance & Risk Data Domain is part of Finance & Risk Business Grids and supports Finance and Risk departments. It consists of more than 200 international professionals working to improve risk data, data systems, and data processes. The domain uses an Agile operating model and includes seven departments in a dynamic, open, and informal environment.
The position is part of the AI Strategy Team within the Centre of Expertise Advanced Analytics & Artificial Intelligence department and reports to the Business Lead CoE AA & AI.
Requirements
- At least 7 years of experience in data science and/or AI engineering.
- Hands-on experience with Python, Spark, SQL, Databricks, Azure, basic machine learning models, pipeline structuring, and optimisation techniques.
- Excellent communication skills in English.
- Confidence collaborating with senior management and stakeholders.
- Experience working in Scrum and DevOps teams.
- A learning mindset and broad interest in data science topics.
- A pragmatic, structured approach, with a focus on simple solutions, ownership, and giving and receiving feedback.
Benefits
- Monthly salary of €6,066–€8,666 under Scale 11.
- Benefit Budget equal to 11% of salary.
- Five weeks of vacation per year, with the option to purchase an additional four weeks.
- Personal development budget of €1,000 per year, accumulable up to €3,000.
- Possibility to work from home in consultation with the team and depending on the position.
- Annual public transport pass providing free public transportation throughout the Netherlands.
- Excellent pension scheme.
- Personal and professional career development opportunities.
- Diverse and inclusive culture with extensive internal career opportunities.