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- Tasks: Design and deploy machine learning models to combat fraud and financial crime.
- Company: Leading technology services firm in Greater London with a focus on innovation.
- Benefits: Flexible remote or hybrid work options, competitive salary, and professional growth opportunities.
- Why this job: Join a passionate team dedicated to making a real difference in financial security.
- Qualifications: 5+ years of experience in data science, proficiency in Python and PySpark.
- Other info: Exciting role for analytics enthusiasts looking to innovate in financial crime prevention.
The predicted salary is between 43200 - 72000 £ per year.
A technology services leader in Greater London is seeking an experienced Senior Data Scientist to design and deploy machine learning models focused on fraud detection and financial crime prevention.
Candidates should have over 5 years of experience, proficiency in Python and PySpark, and strong expertise in Financial Crime domains.
This role offers remote or hybrid work options, and is suited for individuals passionate about analytics and innovation.
Senior Data Scientist - Financial Crime & Fraud Analytics in London employer: NTT DATA, Inc.
Contact Detail:
NTT DATA, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Financial Crime & Fraud Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial crime and fraud analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects, especially those related to fraud detection. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and PySpark skills. Be ready to discuss your past experiences with financial crime analytics and how you've tackled challenges in that domain.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Senior Data Scientist - Financial Crime & Fraud Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial crime and fraud analytics. We want to see how your skills in Python and PySpark shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for analytics and innovation, and give us a glimpse into your problem-solving approach in tackling financial crime.
Showcase Your Projects: If you've worked on any machine learning models or analytics projects, make sure to mention them! We love seeing real-world applications of your skills, especially those that relate to fraud detection.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at NTT DATA, Inc.
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning models, especially those related to fraud detection and financial crime. Be ready to discuss specific projects you've worked on and how your expertise in Python and PySpark has contributed to successful outcomes.
✨Showcase Your Passion
This role is all about analytics and innovation, so don’t hold back on expressing your enthusiasm for the field. Share examples of how you've stayed updated with industry trends or any personal projects that demonstrate your commitment to fighting financial crime.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in a simple way, and be prepared to solve problems on the spot. It might help to review common algorithms used in fraud detection and think through how you would apply them.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the company's approach to tackling financial crime or how they measure the success of their machine learning models. This shows you're genuinely interested and helps you assess if the company is the right fit for you.