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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: Remote or hybrid work options, competitive salary, and opportunities for professional growth.
- Why this job: Join a passionate team and make a real difference in financial crime prevention.
- Qualifications: 5+ years of experience in data science, proficiency in Python and PySpark.
- Other info: Dynamic role with a strong emphasis on analytics and innovation.
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 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
✨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 and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your machine learning projects, especially those related to fraud detection. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and PySpark. Practice coding challenges and be ready to explain your thought process. We all know that technical skills are crucial for a Senior Data Scientist role!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior Data Scientist - Financial Crime & Fraud Analytics
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 approach to tackling financial crime challenges.
Showcase Your Projects: If you've worked on any machine learning models or analytics projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially in 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, the challenges you faced, and how you overcame them.
✨Showcase Your Technical Skills
Since proficiency in Python and PySpark is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation techniques beforehand.
✨Understand the Financial Crime Landscape
Familiarise yourself with current trends and challenges in financial crime and fraud analytics. Being able to discuss recent developments or case studies will show your passion for the field and your commitment to staying informed.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to fraud detection and the technologies they use. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.