Expert Fraud Data Scientist Consultant

This is a consultancy mission at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and values to every engagement. Role Description:

• Contribute to the Artificial Intelligence Tribe, delivering efficient and seamless banking experiences through AI applications.
• Work alongside a team of experts including Data Scientists, Machine Learning Engineers, Business Analysts, Scrum Masters, Product Owners, and Managers.
• Develop AI solutions addressing business challenges such as virtual assistants, advanced AI tools, and process automation.
• Act as a Senior Data Scientist specializing in Fraud Detection, with at least 5 years of experience in developing AI applications., * Enhance fraud models by collecting, labeling, curating, structuring, and feature engineering data.
• Design, develop, and improve fraud detection models using machine learning, graph analytics, anomaly detection, and behavioral analytics.
• Transform large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment, and pattern discovery.
• Collaborate with Fraud Operations, Risk, Compliance, and Product teams to identify fraud trends and translate business needs into scalable analytical solutions.
• Investigate complex fraud schemes, uncover new attack vectors, and proactively develop detection strategies to mitigate risks., * Consultancy Nature: You will work on-site as a consultant, representing Keystone Solutions and delivering value to diverse client environments.
• Dynamic Projects: Experience a variety of challenges and projects across multiple client settings, broadening your expertise.
• Turbo-Charged Learning: Benefit from continuous professional development and exposure to cutting-edge technologies and methodologies.
• Skyrocketing Ambition: Keystone Solutions is committed to your career growth, offering opportunities to advance within the consultancy framework.
• Values: As a K-Stone, you bring integrity, excellence, and collaboration to every mission.

• Fluent English, * Master’s degree in a quantitative field such as statistics, computer science, or engineering, ideally with a focus on Fraud Detection. A PhD is a plus. Candidates from other academic backgrounds with strong analytical skills are also welcome., * At least 7 years of experience in data science, preferably in the financial sector with a focus on fraud detection. Candidates with less experience may be considered if they have strong academic credentials., * Data Engineering & Management: Hands-on experience manipulating and processing large-scale datasets using SQL, Python (Pandas), Spark/Hadoop, and distributed data processing technologies. Skilled at collecting, enriching, structuring, and validating complex transactional and behavioral data for fraud analytics and machine learning.
• Data Science & Artificial Intelligence: Application of advanced analytical techniques including supervised and unsupervised machine learning, anomaly detection, graph analytics, and network analysis. Experience in building data-centric AI solutions with robust software engineering, high-quality datasets, and state-of-the-art modeling approaches. Experience with generative AI is a plus.
• Programming language: Extensive experience in Python and deploying AI applications in production. Java experience is a plus.

Soft Skills:

• Team player
• Business oriented
• Quick self-starter, pro-active attitude
• Good communication and influencing skills
• Good analytical and synthesis skills
• Autonomy, commitment, and perseverance
• Ability to work in a dynamic and multi-cultural environment