Sr. Data Scientist
ExternalContractOn-site2mo ago
ClassificationClusteringData AnalysisMachine LearningNumPyPandas
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Responsibilities
- Model Development: Design, build, and deploy advanced propensity models, credit risk models, and other statistical models to address various business challenges within the banking domain.
- Data Analysis: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies.
- Analytical Solution: Develop and implement analytical solutions for banking operations, including customer segmentation, fraud detection, and performance optimization.
- Collaboration: Work closely with business stakeholders, data engineers, and other teams to understand business requirements and deliver effective data-driven solutions.
- Reporting: Present findings and model performance to both technical and non-technical audiences in a clear and concise manner.
- Innovation: Stay updated with the latest advancements in data science, machine learning, and the banking industry to propose and implement innovative solutions.
Requirements
- Experience : Minimum of 5 years of professional experience as a Data Scientist, with a significant focus on the banking or financial services industry.
- Technical Skills :
- Good understanding on building performance dashboards, sales models (propensity, segmentation, income proxy), credit models (A-score, B-score)
- Proficiency in programming languages such as Python or R.
- Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering).
- Experience with SQL and database management.
- Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with big data & cloud technologies is a plus.
- Industry Knowledge : Proven experience in building and deploying models for credit risk, propensity modeling, or other relevant banking analytics projects.
- Soft Skills :
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
- This position will be assigned to an FSI client's project.
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Company Intel
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