At a Glance
- Tasks: Lead the design and deployment of advanced machine learning and AI solutions in finance.
- Company: Join SBS, a global fintech partner transforming the financial industry.
- Benefits: Enjoy health coverage, retirement plans, flexible work, and career development opportunities.
- Other info: Be part of a collaborative team shaping the future of finance globally.
- Why this job: Drive innovation in AI while ensuring compliance in a dynamic financial environment.
- Qualifications: Expertise in Machine Learning, Generative AI, and experience in regulated financial settings.
The predicted salary is between 80000 - 100000 € per year.
We are seeking a highly experienced Principal Data Scientist to lead the design and deployment of advanced machine learning and AI solutions within a regulated financial environment. This role will drive innovation across agentic workflows and generative AI systems while ensuring compliance with financial regulations.
Responsibilities
- Lead the development and deployment of machine learning models for financial applications.
- Architect and implement agentic workflows for autonomous decision-making systems.
- Design and scale Generative AI solutions, including LLM-based systems.
- Collaborate with stakeholders to translate business requirements and regulatory constraints into technical solutions.
- Ensure all models and systems comply with financial regulations and governance standards.
- Mentor and guide junior data scientists and engineers.
- Work cross-functionally with engineering, product, and compliance teams.
Qualifications
- Strong expertise in Machine Learning (core competency).
- Hands-on experience with agentic systems / autonomous workflows.
- Proven experience with Generative AI and LLMs.
- Experience working in regulated financial environments (e.g., banking, fintech).
- Proficiency in Python.
- Fluency in English.
Preferred Skills
- Experience with Java.
- Familiarity with MLOps, model governance, and risk frameworks.
- Experience leading technical teams or projects.
We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.
Principal Data Scientist (Machine Learning & AI) employer: SBS
SBS is an exceptional employer that prioritises the well-being and growth of its employees, offering a comprehensive benefits package that includes health coverage, retirement plans, and flexible work arrangements. With a collaborative and innovative work culture, employees are encouraged to develop their skills and advance their careers while contributing to cutting-edge financial technology solutions in a dynamic global environment. Join us at SBS to be part of a forward-thinking team that values diversity and fosters meaningful partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist (Machine Learning & AI)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to machine learning and AI. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving generative AI and autonomous workflows. Share your work on platforms like GitHub or LinkedIn to grab the attention of potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding financial regulations. Practice explaining complex concepts in simple terms, as you'll need to collaborate with non-technical stakeholders.
✨Apply Through Our Website
Don’t forget to check out our job listings on the StudySmarter website! Applying directly through us can give you an edge, as we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Data Scientist (Machine Learning & AI)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and AI, especially in regulated environments. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Technical Skills:Since this role requires strong expertise in Python and experience with generative AI, make sure to highlight these skills prominently. We’re looking for candidates who can hit the ground running, so any relevant projects or achievements will help!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at SBS
✨Know Your Machine Learning Inside Out
Make sure you brush up on your machine learning concepts, especially those relevant to financial applications. Be ready to discuss your past projects and how you've applied ML in regulated environments. This will show your expertise and confidence in the field.
✨Showcase Your Generative AI Experience
Prepare to talk about your experience with generative AI and LLMs. Have specific examples ready that demonstrate how you've designed and scaled these solutions. This is a key area for the role, so make it shine!
✨Understand Compliance and Governance
Since this role involves working within a regulated financial environment, be familiar with compliance standards and governance frameworks. Discuss how you've ensured that your models meet these requirements in previous roles.
✨Be Ready to Collaborate
This position requires cross-functional teamwork, so think of examples where you've successfully collaborated with engineering, product, or compliance teams. Highlight your communication skills and how you translate technical jargon into business language.
