Conducting an analysis of the loan portfolio Construction of various models (credit scoring, collection scoring, behavioral scoring, fraud scoring, etc.) and rules for assessing credit risks in making decisions
BS or higher degree in Computer Science or a related field Development experience 3+ years in Experience with PowerBI Experience of Kusto and Cosmos DB’s Experience working with large datasets/data warehouses Experience in coding (e.g.
DUCATION - in a numerate field 2. EXPERIENCE - 3-5 years as data scientist in Credit analytics in consumer lending 3. PROGRAMMING - Python (Expert)-(Python libraries like NumPy, Pandas, SciPy, SciKitLearn, Keras, TensorFlow, MatPlotLib),
Help design and build the next iteration of process automation in HERE Content Engineering employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganising said data in a format that can be easily read by either human
The position holder will be responsible for shaping the direction of Rapidos products by using data-driven insights to identify opportunities and prioritize product and engineering initiatives. This position will report to the Lead Data .
Creating a detailed business analysis, outlining problems, opportunities & solutions for a business Budgeting and forecasting Planning and monitoring Financial modelling Variance Analysis Pricing Reporting Defining business requirements and reporting
This role provides the opportunity to work in collaboration with global and regional brand teams, brand insight teams and marketing teams spanning the full suite of Novartis products throughout their lifecycle stages.