Data Scientist, Yaspa

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 3+ years of experience in a data science or analytics role, preferably in finance
• Hands-on experience building and deploying ML models in Python
• SQL skills and familiarity with AWS for deployment and data workflows
• Strong knowledge of statistical modeling, anomaly detection, clustering, and supervised/unsupervised learning
• Experience working with large-scale data
• Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker

Desirable

• You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings
• Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency
• Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models
• Design intuitive visualisations to communicate findings and insights to clients, technical and non-technical stakeholders
• Lead model deployment with an eye for performance, scalability, and real time low-latency inference
• Deliver robust, low-failure-rate models and systems, especially in environments where testing support is limited
• Collaborative Problem Solving: Work closely with cross-functional teams, including product, engineering, and business stakeholders, to understand requirements and deliver data-driven solutions
• Enthusiasm for collaborating across disciplines, including with academic researchers and third-party partners

• Please apply via WTTJ