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- Tasks: Design and develop machine learning models for anti-money laundering applications.
- Company: Join Napier Technologies, a leader in financial crime prevention.
- Benefits: Enjoy 25 days annual leave, private healthcare, and flexible working options.
- Other info: Be part of a dynamic team dedicated to creating a safer financial world.
- Why this job: Make a real impact in the fight against financial crime with innovative AI solutions.
- Qualifications: 5+ years in data science with strong Python and Go skills.
The predicted salary is between 50000 - 70000 £ per year.
Napier Technologies Limited in Belfast is seeking a Data Scientist to design and develop machine learning models in anti-money laundering applications. Candidates should possess strong Python and Go experience, with at least 5 years in data science and development of AI solutions.
This role offers comprehensive benefits, including 25 days of annual leave, private healthcare, and the flexibility to work hybrid or in-office. Join Napier's innovative team committed to making the financial world safer.
AML Data Scientist — Remote/Hybrid AI for Financial Crime in Belfast employer: Napier Technologies Limited.
Contact Detail:
Napier Technologies Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AML Data Scientist — Remote/Hybrid AI for Financial Crime in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Napier Technologies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to anti-money laundering. This will give you an edge and demonstrate your expertise.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and Go skills. Be ready to discuss how you've applied these in real-world scenarios, particularly in data science and AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AML Data Scientist — Remote/Hybrid AI for Financial Crime in Belfast
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and Go experience in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise in data science and AI solutions!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences with what we’re looking for in an AML Data Scientist.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
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 this exciting opportunity at Napier Technologies!
How to prepare for a job interview at Napier Technologies Limited.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Go skills before the interview. Be ready to discuss specific projects where you've applied these languages, especially in developing machine learning models for anti-money laundering applications.
✨Showcase Your Experience
With at least 5 years in data science, you’ll want to highlight your most relevant experiences. Prepare examples of how you've tackled challenges in AI solutions, particularly those related to financial crime, to demonstrate your expertise.
✨Understand the Company’s Mission
Familiarise yourself with Napier Technologies and their commitment to making the financial world safer. Being able to articulate how your values align with theirs can set you apart from other candidates.
✨Prepare Questions
Have a few thoughtful questions ready about the role and the team. This shows your genuine interest in the position and helps you assess if it’s the right fit for you, especially regarding the hybrid work model and company culture.