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Senior Data Scientist
Harnham
- +4
- +4
- London, England, United Kingdom
- +4
- +4
- London, England, United Kingdom
About
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Role details
Senior Data Scientist London – Hybrid Up to £85,000 About the Role
We’re working with a fast-growing SaaS company that processes billions of data points daily to protect clients’ digital advertising from wasteful and fraudulent traffic. They are seeking an experienced Data Scientist with strong machine learning expertise to join their team and take ownership of developing and enhancing detection models that safeguard ad spend and improve campaign quality. In this role, you’ll design and deploy scalable ML systems, collaborating closely with engineering teams to ensure reliability and performance in production. You’ll also be at the forefront of research into new and emerging fraud patterns. Key Responsibilities
Own the design and implementation of ML models for fraud and invalid traffic detection, ensuring seamless deployment and integration into production systems. Drive experimentation and prototyping of new algorithms and data products. Research and surface emerging ad fraud patterns in large-scale data. Monitor and optimise model performance post-deployment, tackling challenges such as model drift and false positives. Collaborate with Product, Engineering, and Commercial teams to translate business needs into impactful data-driven solutions. Contribute to technical standards, mentor peers, and foster a high-quality data science culture. Stay up to date with the latest in ML and fraud detection techniques, feeding innovations into the product roadmap. What We’re Looking For
Strong experience designing, developing, and maintaining ML models. Proficiency in Python, SQL, and cloud infrastructure with large datasets and real-time prediction applications. Familiarity with MLOps best practices. Hands-on experience with AWS (SageMaker, Lambda, S3, Redshift, etc.). Strong system-level thinking, including privacy, compliance, and explainability considerations. Pragmatic and results-driven, with the ability to balance technical excellence with business value. Experience in adtech, media, or fraud detection is highly desirable. Please note - this role cannot offer VISA sponsorship. Company details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering, Science, and Analyst Industries: IT Services and IT Consulting Referrals increase your chances of interviewing at Harnham by 2x London, England, United Kingdom 2 weeks ago
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Nice-to-have skills
- AWS Lambda
- Machine Learning
- Python
- SQL
Work experience
- Data Engineer
- Machine Learning
- Data Analyst
- Data Scientist
Languages
- English
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