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- Tasks: Develop and deploy machine learning models for fraud detection and quality intelligence.
- Company: Global leader in data insights with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in market research while working with cutting-edge technology.
- Qualifications: 5+ years of experience in data science, strong Python skills, and cloud services knowledge.
- Other info: Dynamic work environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A global leader in data insights is seeking an experienced Data Scientist to develop and deploy machine learning models focused on fraud detection and panel quality. The ideal candidate will have over 5 years of experience, with strong skills in Python and cloud services.
The position involves contributing to the full data science lifecycle and communicating technical outcomes to stakeholders. This role offers the opportunity to work in a dynamic environment and make a real impact in market research.
Senior Data Scientist – Fraud Analytics & Quality Intelligence in Reading employer: KANTAR
Contact Detail:
KANTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Fraud Analytics & Quality Intelligence in Reading
✨Tip Number 1
Network like a pro! Reach out to connections in the data science field, especially those who work in fraud analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to fraud detection. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and cloud services knowledge. Be ready to discuss how you've used these skills in past projects, and don’t forget to practice explaining complex concepts in simple terms for stakeholders.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team and makes your application stand out.
We think you need these skills to ace Senior Data Scientist – Fraud Analytics & Quality Intelligence in Reading
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data science, especially focusing on fraud detection and quality intelligence. We want to see how your background aligns with the role, so don’t hold back!
Python is Key: Since strong Python skills are a must-have, be sure to mention any relevant projects or experiences where you've used Python effectively. We love seeing practical examples of your coding prowess!
Communicate Clearly: This role involves sharing technical outcomes with stakeholders, so showcase your ability to communicate complex ideas simply. We appreciate clarity and want to know how you can bridge the gap between tech and non-tech folks.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at KANTAR
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant cloud services before the interview. Be ready to discuss specific projects where you've developed machine learning models, especially those related to fraud detection or quality intelligence.
✨Showcase Your Experience
With over 5 years in the field, you’ll want to highlight your experience in the full data science lifecycle. Prepare examples that demonstrate how you've contributed at each stage, from data collection to model deployment, and be ready to explain your thought process.
✨Communicate Clearly
Since this role involves communicating technical outcomes to stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your findings effectively to someone without a technical background.
✨Be Ready for Problem-Solving
Expect some technical questions or case studies during the interview. Prepare to walk through your problem-solving approach, particularly in scenarios related to fraud analytics. This will show your analytical thinking and ability to tackle real-world challenges.
