Data ScientistConclase Consulting

• Develop advanced ML (such as fraud etc) Credit scoring models for different business scorecards using ensemble algorithms in python.
• Conduct EDA, data extraction, data cleaning and documentation of created models.
• Engage central team ensuring laid down best practices are followed.
• Develop models which do not deviate too much from developed algorithms.
• Engage business stakeholders to glean from domain knowledge in creating fit for purpose algorithms.
• Ensure codes are refactored for data engineering pipeline.
• Multitask by building more than one algorithm at each time.

Qualifications

• Experience Level: Senior (5 years and above).
• Proven development experience in software and software engineering.
• Understanding of financial services data processes, systems, and products.
• Experience in technical business intelligence.
• Knowledge of IT infrastructure and data principles.
• Exposure to governance and regulatory matters as it relates to data.
• Experience in building models (credit scoring, propensity models, churn, etc.).
• Working with unstructured data (e.g. Streams, images)
• Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
• Using data mining to discover new patterns from large datasets.
• Implement standard and proprietary algorithms for handling and processing data.
• Experience with common data science toolkits, such as SAS, R, SPSS, etc.
• Experience with data visualisation tools, such as Power BI, Tableau, etc.
• Proficiency in application and web development. Structured and Unstructured Query languages e.g. SQL, Qlikview; SSIS SSRS, Python, JSON , C#, Java, C++, HTML.