At a Glance
- Tasks: Extract, clean, and develop models to combat fraud using machine learning.
- Company: Join Barclays, a leader in financial services with a commitment to innovation.
- Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
- Other info: Collaborative environment with strong focus on leadership and career growth.
- Why this job: Make a real difference in preventing financial crime while advancing your career.
- Qualifications: Experience in data science and machine learning is essential.
The predicted salary is between 50000 - 70000 Β£ per year.
Barclays is seeking a Fraud Data Scientist for our Northampton area with responsibilities spanning data extraction, cleaning, model development and deployment to detect and prevent fraud across banking products.
You will collaborate with stakeholders and apply ML methods to improve detection and response to risks.
The role emphasizes leadership, data governance, and cross-functional collaboration to safeguard financial crime controls and operational efficiency.
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Fraud Data Scientist β ML-Powered Financial Crime in Northampton employer: Limelight Health
At Limelight Health, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a remote-first company, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth, making it an ideal environment for those passionate about driving technological advancements in healthcare. Join us to be part of a forward-thinking team that values your expertise and encourages you to lead the way in AI-driven solutions.