At a Glance
- Tasks: Own the vision and roadmap for the AI/ML Platform, enabling data scientists and developers.
- Company: Join Deutsche Bank AG, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic role in a collaborative environment with excellent career advancement potential.
- Why this job: Shape the future of AI/ML in finance and drive impactful projects.
- Qualifications: Proven product ownership experience and strong understanding of the AI/ML lifecycle.
The predicted salary is between 80000 - 100000 £ per year.
Deutsche Bank AG is seeking a Technical Product Owner for their AI/ML Platform, located in London. In this role, you will own the vision and roadmap, enabling data scientists and developers through effective MLOps capabilities.
This position requires a proven background in product ownership, deep understanding of the AI/ML lifecycle, and strong communication skills to articulate complex technical requirements.
The role includes defining the product vision, maintaining the backlog, and driving feature adoption.
Lead AI/ML Platform Technical Product Owner employer: Deutsche Bank AG
Deutsche Bank AG is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to diversity and inclusion, making it an ideal environment for those looking to make a meaningful impact in the AI/ML space.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI/ML Platform Technical Product Owner
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Deutsche Bank AG.
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We think you need these skills to ace Lead AI/ML Platform Technical Product Owner
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Deutsche Bank AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Deutsche Bank AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Deutsche Bank AG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Deutsche Bank AG!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
