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For Companies At a Glance
- Tasks: Develop machine learning models to detect fraud and enhance survey panel quality.
- Company: Join Kantar, a global leader in data, insights, and consulting.
- Benefits: Enjoy a flexible work environment and opportunities for personal growth.
- Why this job: Make a real impact in market research while collaborating with talented professionals.
- Qualifications: 5+ years in data science with strong skills in Python, SQL, and fraud detection.
- Other info: Diversity is valued; all backgrounds are encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
What You’ll Do
- Develop and deploy machine learning models to detect fraudulent panellists and improve panel quality.
- Contribute to the full data science lifecycle: hypothesis generation, model development, deployment, and monitoring.
- Analyse new data sources to identify opportunities for model enhancement and decision-making improvements.
- Design and implement feedback loops to drive better data quality and commercial outcomes.
- Apply supervised and unsupervised learning techniques to build scalable, production-ready solutions.
- Collaborate with developers to ensure robust, high-availability of model predictions in a microservices architecture.
- Create and maintain data pipelines and monitoring tools.
- Communicate technical insights to non-technical stakeholders, including senior commercial leaders.
What You’ll Bring
- 5+ years of experience in data science experience.
- Experience with supervised learning, unsupervised anomaly detection, or similar quality assurance domains.
- Strong proficiency with python or a similar language.
- Proven experience of automating model training pipelines using cloud services.
- Working experience/knowledge of CI/CD pipelines, IAC and git version control.
- Excellent problem-solving skills and a collaborative mindset.
- A strong sense of ownership over data science products.
- Experience in industries with large consumer marketplaces (e.g. programmatic media, travel, financial services) is a plus.
- Knowledge or experience with Kafka is a plus.
- Note: The company is transitioning towards Azure for new development.
Why Join Us?
At Kantar, you’ll be part of a global leader in data, insights, and consulting. You’ll work on meaningful challenges, contribute to cutting-edge solutions, and help shape the future of market research. We offer a collaborative environment, opportunities for growth, and the chance to make a real impact.
Additional Information
Candidates must have the right to work in the UK. We cannot offer visa sponsorship for this role.
We value diversity and encourage applicants from all backgrounds to apply.
Location
Reading King’s Road or London South Bank, UK
At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.
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Senior Data Scientist – Anti-Fraud & Quality Intelligence employer: KANTAR
Contact Detail:
KANTAR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist – Anti-Fraud & Quality Intelligence
✨Tip Number 1
Familiarise yourself with Kantar's tech stack, especially AWS and Redshift. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Showcase your experience in fraud detection and data quality assurance during networking opportunities. Engaging with professionals in the industry can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific machine learning models you've developed or deployed. Being able to articulate your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Connect with current employees on LinkedIn to gain insights about the company culture and expectations. This can give you an edge in understanding what Kantar values in their team members.
We think you need these skills to ace Senior Data Scientist – Anti-Fraud & Quality Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in fraud detection and quality assurance. Use specific examples of projects where you've developed machine learning models or improved data quality.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it relates to combating fraud. Mention your familiarity with Kantar's mission and how your skills align with their needs, especially in enhancing survey panel integrity.
Showcase Technical Skills: Clearly list your technical skills, especially in Python, SQL, and any experience with cloud platforms like AWS or Azure. Provide examples of how you've applied these skills in previous roles to solve complex problems.
Prepare for Potential Questions: Anticipate questions related to your experience with machine learning and fraud detection. Be ready to discuss specific algorithms you've used and the outcomes of your projects, as well as how you communicate technical insights to non-technical stakeholders.
How to prepare for a job interview at KANTAR
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your proficiency in Python, SQL, and machine learning algorithms. Be prepared to discuss specific projects where you've applied these skills, particularly in fraud detection or data quality improvement.
✨Understand Kantar's Mission
Familiarise yourself with Kantar's focus on data integrity and anti-fraud measures. During the interview, express how your experience aligns with their mission to enhance the quality of survey panels and combat online fraud.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about past challenges you've encountered in data science and how you approached them, especially in relation to fraud detection and data quality.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be required to communicate technical insights to non-technical stakeholders, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between technical and commercial teams effectively.
